A Compendium of Estimating Resources

This blog page is dedicated to the resources used to estimate software-intensive systems and their related hardware and work processes when applying traditional and agile product development methods. This setting ranges from cost to schedule, to risk, to technical performance - anything that has an uncertainty associated with the parameters. And since ALL project work has uncertainties - aleatory and epistemic - estimates must be made of these uncertainties to assess their impact on the probability of the project's success

These Briefings, Papers, Books, and Thesis, and other resources - for the most part - were retrieved from public sites and can be found with Google. When memberships are required, anyone spending other people's money should belong to IEEE, IFPUG, NESMA, COSMIC, ACM, AACE, ICEAA, PMI, APM, ASPE.  These are professional organizations that have estimating resources needed to increase the probability of project success, no matter the domain or development method.

Links to the papers listed here are public. For subscription journals, you'll need a membership to get the paper. I would suggest if you're a developer or manager in a software-intensive system of systems domain, you should be a member of these professional organizations as a start.

Let's start with a critical understanding of the purpose of making estimates on software development projects

The primary purpose of software estimation is not to predict a project's outcome; it is to determine whether a project's targets are realistic enough to allow the project to be controlled to meet them — Steve McConnell

The reason for this resource page is the lack of understanding of how to estimate, the urban myths about software estimating, and the fallacies that estimating is not needed or is a waste when developing software, in the presence of uncertainty, when spending other people's money.

One of our clients has a statement that is applicable here:

If you lack academic basics and validated experience, your advice is simply unsubstantiated opinion without any basis in fact or principle.
USAF Col. (Ret), Program Manager, NNSA Weapons Testing Site

Start here to build the needed academic foundation, that can be the basis of your work to build a foundation of validated experience of making estimates in the presence of uncertainty and protect yourself from fallacious claims that estimates are a waste, not needed, and produce bad results in the decision making process for those paying you to produce value.

With this bibliography, anyone interested in further understanding needs to look through the Bibliography section of each paper to find further insight, processes, practices, and principles of estimating the cost and schedule of software development using agile processes.

Then you will have satisfied the first condition of the Colonel's requirement of being competent and be on your way to developing the needed experience with a sound academic foundation.

Briefings on Estimating in Traditional and Agile Domains

---

• How Should We Estimate Agile Projects and Measure Progress to Plan - "Why do so many big projects overspend and overrun? They're managed as if they were merely complicated when in fact they are complex. They're planned as if everything was known or knowable at the start when in fact they involve high levels of uncertainty and risk" - Architecting Systems: Concepts, Principles, Practice - Hillary Sillitto, given at ICEAA Portland, 2017
• Calculating Physical Percent Complete on an Agile Project, Developing software using Scrum still needs the ability to determine the Estimate to Complete (ETC), the Estimate at Completion (EAC), and the Estimated Completion Date (ECD) when there is a fixed deliverable date, a fixed budget for that software, and a minimal set of Features and Capabilities on that date for that budget.
• Building a Risk-Adjusted Engineering Estimate and Executing the Risk-Adjusted Product Roadmap, agile projects, like all projects, operate in the presence of uncertainty that creates risk. Estimates are required to make any credible decisions while spending other people's money in the presence of uncertainty.
• Monte Carlo Simulation and Estimating Traditional and Agile Development managing in the presence of uncertainty requires making decisions with models of that uncertainty. Making these informed decisions requires making estimates.
• A Possible Cure for Unanticipated Cost and Schedule Growth, We have lots of data. Let's use it create more credible estimates to help tame the growth beast, ICEAA Professional Development, and Training Workshop, June 10-13, 2014, Denver, Colorado
• A Cure for Unanticipated Cost and Schedule Growth, A White Paper. Delivering programs with less capability than promised, while exceeding costs and planned durations distorts decision making, contributes to increasing cost growth to other programs, undermines the Federal Government's credibility with taxpayers, and contributes to the public's negative support of these programs, ICEAA Professional Development, and Training Workshop, June 10-13, 2014, Denver, Colorado
• How Should We Estimate Agile Software Development Projects and What Data Do We Need?, Glen B. Alleman and Thomas J. Coonce, International Cost Estimating & Analysis Association, 2017 Professional Development & Training Workshop, June 6-7, 2017.
• Estimating and Reporting Agile Projects using the SRDR and Earned Value Management, Glen B. Alleman and Thomas J. Coonce, PSM User's Group 2017, 12-16 June 2017.
• Forecasting Cost and Schedule Performance in the Presence of Uncertainty, Probabilistic forecasting of program performance. For credible decisions to be made, we need confidence intervals on all the numbers we use to make decisions. These confidence intervals come from the underlying statistics and related probabilities. Statistical forecasting, using time series analysis of past performance, is mandatory for any credible discussion of project performance in the future.
• Forecasting Cost and Schedule Performance in the Presence of Uncertainty
• Forecasting ACAT1 Program Performance in the Presence of Statistical Uncertainty, IPMC 2013.
• Probabilistic Schedule and Cost Analysis, prepared for NNJ051R, NASA Crew Exploration vehicle, 2005.
• Basis of Estimate Training
• How Should We Estimate Agile Software Development Projects and What Data Do We Need?, International Cost Estimating & Analysis Association, 2017 Professional Development & Training Workshop, June 6-9, 2017
• Estimating and Reporting Physical Percent Complete on Agile Projects, DHS Cost Analysis Stakeholder Working Group, June 26, 2017
• Estimating and Reporting Agile Projects using the SRDR and Earned Value Management, PSM Users Group 2017, 12-16 June 2017, Crystal City, VA
• How to Develop Credible Cost & Schedule Estimate, Building credible cost and schedule estimates require discipline, skill, and experience, All 3 can be acquired over time. The starting point is understanding what processes make up the discipline of estimating.
• Estimates and Forecasts, To estimate means to find something close to the correct answer or value. Estimates are about the past, present, and future. Forecasting is a method of using statistical models to predict future outcomes.

Papers providing guidance for estimating traditional and agile projects

---

Estimating Using Function Points

• "Guideline for the application of COSMIC-FFP for Sizing Business Application Software," Arlan Lesterhuis
• "Guideline for Early or Rapid COSMIC Functional Size Measurement by using approximation approaches," Frank Vogelezang
• “Towards Approximating COSMIC Functional Size from User Requirements in Agile Development Processes Using Text Mining,” Ishrar Hussain, Leila Kosseim and Olga Ormandjieva, Natural Language Processing and Information Systems, Volume 6177 of the series Lecture Notes in Computer Science p.p. 80‒91.
• “The COSMIC Functional Size Measurement Method,” Version 4.0.1, Guide of COSMIC FSM to manage Agile projects, VERSION 1.0, September 2011.
• “Improving Agile Software Projects Planning Using the COSMIC Method,” Jean-Marc Desharnaisa, Buğra Kocatürka, and Luigi Buglioneb.
• “Effort Estimation with Story Points and COSMIC Function Points ‒ An Industry Case Study,” Christophe Commeyne, Alain Abran, Rachida Djouab, Software Measurement News, Vol. 21, No. 1 Pages 25‒36.
• “Using the COSMIC Method to Evaluate the Quality of the Documentation of Agile User Stories,” Jean-Marc Desharnais, Buğra Kocatürk, and Alain Abran, 2011 Joint Conference of 21st International Workshop on Software Measurement and the 6th International Conference on Software Process and Product Measurement, IWSM/Mensura 2011, Nara, Japan, November 3‒4, 2011.
• “The COSMIC Functional Size Measurement Method Version 4.0.1 Guideline for Sizing Real-time Software, Version 1.1.1,” November 2016
  “Software Cost and Schedule Estimating: A Process Improvement Initiative,” Robert Park, Wolfhart Goethert, and Todd Webb, Software Engineering Institute, CMU/SEI‒94‒SR‒03.
• “Using the COSMIC Method to Estimate Agile User Stories,” Jean-Marc Desharnais, Luigi Buglione, and Buǧra Kocatürk, Profes '11: Proceedings of the 12th International Conference on Product-Focused Software Development and Process Improvement, June 2011.
• “Measurement of Software Size: Contributions of COSMIC to Estimation Improvements,” Alain Abran, Charles Symons, Christof Ebert, Frank Vogelezang, and Hassan Soubra, ICEAA International Training Symposium, Bristol England, 2016.
• “A Framework for Software Project Estimation Based on COSMIC, DSM and Rework Characterization,” Sharareh Afsharian, Marco Giacomobono, and Paola Inverardi, BIPI’08, May 13, 2008.
• COSMIC: Guideline for Sizing Business Software, Version 3, http://www.etsmtl.ca/Unites‒de‒recherche/GELOG/accueil
• "A Case study on the conversion of Function Points into COSMIC," Filomena Ferrucci, Carmine Gravino, and Federica Sarro, School of Computer Science, University of Salerno, 
• "The Use of Function Points for Software Estimation and Measurement," Joe Schofield, Sandia National Laboratories Albuquerque, N. M.
• “Software Cost Estimation using Function Point with Non-Algorithmic Approach,” Vignaraj Ananth, Global Journal of Computer Science and Technology: Software and Data Engineering, Volume 13, Issue 8, Version 1.0, 2013.
• "Enhancement in COCOMO Model Using Function Point Analysis to Increase Effort Estimation,” Komal Garg, Paramjeet Kaur, Shalini Kapoor, Shilpa Narula, International Journal of Computer Science and Mobile Computing, Vol 3, Issue 6, pp. 565-572, 2014.
• “Functional size measurement – accuracy versus costs – is it really worth it?,” H. S. van Heeringen, E. W. M. van Gorp, and T. G. Prins, SMEF 2009.
• “Effort Estimation with Story Points and COSMIC Function Points – An Industrial Case Study,” Christophe Commeyne, Alain Abran, and Rachida Djouab, Position Paper, Software Measurement News, Vol. 21, No. 1, 2016, pp. 25-36.
• “Measuring the Functional Size of Real-Time and Embedded Software: A Comparison of Function Point Analysis and COSMIC,” Luigi Lavazza and Sandro Morasca, The Eighth International Conference on Software Engineering Advances, ICSEA 2013.
• “SW Cost Estimation: Measuring Model Performance of Arbitrary Function Approximators,” Erik Stensrud, Ingunn Myrtveit, Discussion Paper 5/2002, Handelshøyskolen, Norwegian Business School, BI Open Archive.
• “Measuring the Functional Size of Real-Time and Embedded Software: A Comparison of Function Point Analysis and COSMIC,” Luigi Lavazza and Sandro Morasca, The Eighth International Conference on Software Engineering Advances, ICSEA 2013.
• “Measuring Software Functionality Using Function Point Method Based on Design Documentation,” Anie Rose Irawati, and Khabib Mustofa, IJSI International Journal of Computer Science Issues, Vol. 9, Issue 3, No. 1, May 2012.
• “Towards a simplified definition of Function Points,” Luigi Lavazza, Sandro Morasca, and Gabriela Robiolo, Information and Software Technology 55, pp. 1796‒1809, 2013.
• “An Empirical Evaluation of Simplified Function Point Measurements Processes,” Luigi Lavazza and Geng Liu, International Journal on Advances in Software, Vol. 6, No. 1 & 2, 2013.
• “Effort Estimation for Agile Software Development: Comparative Case Studies using COSMIC Functional Size Measurement and Story Points,” Murat Salmanoglu, Tuna Hacaloglu, and Onur Demirors, IWSM/Mensura ’17, October 2017.
• “Effort Estimation in Incremental Software Development Projects Using Function Points,” José Antonio, Pow-Sang and Ricardo Imbert, Communications in Computer and Information Science 340:458‒465, January 2012.
• “Functional Size Measures and Effort Estimation in Agile Development: A Replicated Study,” Valentina Lenarduzzi, Ilaria Lunesu, Martina Matta, and Davide Taibi, XP2015 16th International Conference on Agile Software Development, Helsinki Finland, May 25, 2015 ‒ May 29, 2015.
• “Using Function Points in Agile Projects,” Celio Andrade Santana, Fabiana Leoneo, Alexandre Marcos Lins de Vasconcelos, and Cristine Gusmao, Lecture Notes in Business Information Processing, Agile Processes in Software Engineering, May 2011.
• “Functions Points, Use Case Points, Story Points: Observations from A Case Study,” Joe Schofield, Alan Armentrout, and Regina Trujillo, Cross Talk: The Journal of Defense Software Engineering, June 2003.
• “Using Function Points in XP – Considerations,” Andrew M. Fuqua, Proceedings of 4th International Conference on eXtreme Programming and Agile Processes in Software Engineering (XP 2003), May 25-29, 2003.
• “Effort Estimation in Incremental Software Development Projects Using Function Points,” José Antonio Pow-Sang and Ricardo Imbert, Computer Applications for Software Engineering, Disaster Recovery, and Business Continuity, Springer, Volume 304 pp. 458 ‒ 465.
• “Easy Function Points – ‘Smart’ Approximation Technique for the IFPUG and COSMIC Methods,” Luca Santillo, 2012 Joint Conference of the 22nd International Workshop on Software Measurement and the 2012 Seventh International Conference on Software Process and Product Measurement, 2012.
• “Automated Function Points: Critical Evaluation and Discussion,” Luigi Lavazza, IEEE/ACM International Workshop on Emerging Trends in Software Metrics, 2015.
• “A Software Maintenance Project Size Estimation Tool Based on Cosmic Full Function Point,” Chi‒Jui Lin and Dow‒Ming Yeh, International Computer Symposium (ICS), 2016.
• “An Empirical Study on the Estimation of Size and Complexity of Software Applications with Function Points Analysis,” Luís M. Alves, Sérgio Oliveira, Pedro Ribeiro, and Ricardo J. Machado, 14th International Conference on Computational Science and Its Applications, 2014.
• “Extending Function Point Analysis to Object-Oriented Requirements Specifications,” Vahan Harput, Hermann Kaindl, and Stefan Kramer, 11th International Software Metrics Symposium, 2005.
• “Adapting Function Point Analysis to Estimate Data Mart Size,” Angélica Toffano Calazans, Káthia Marçal de Oliveira, and Rildo Ribeiro dos Santos, 10th International Symposium on Software Metrics, 2004.
• “The Internal Revenue Service Function Point Analysis Program,” Charles Tichenor, IEEE Computer Software and Applications Conference, 1997
• “A case study on the conversion of Function Points into COSMIC,” Filomena Ferrucci, Carmine Gravino, and Federica Sarro, 37th EUROMICRO Conference on Software Engineering and Advanced Applications (SEAA), IEEE, 2011.
• "Web effort estimation: function point analysis vs. COSMIC," Di Martino, Sergio, et al., Information and Software Technology 72 (2016): 90‒109.
• “Conversion from IFPUG FPA to COSMIC: within‒ vs without‒company equations,” Filomena Ferrucci, Carmine Gravino, and Federica Sarro, Conference on Software Engineering and Advanced Applications (SEAA), 2014 40th EUROMICRO, 2014.
• “From Function Points to COSMIC ‒ A Transfer Learning Approach for Effort Estimation,” Anna Corazza, Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Federica Sarro, International Conference on Product-Focused Software Process Improvement, 2015.
• “Early and Extended Function Point: a new method for Function Points estimation,” Roberto Meli, IFPUG Fall Conference, September 15‒19, 1997.
• “An estimation technique in agile archetype using story points and function point analysis,” Deepak Kumar, Saru Dhir, V.B. Singh, International Journal of Process Management and Benchmarking, 7(4):518, January 2017.
• “From Story Points to COSMIC Function Points – A Six Sigma perspective,” Thomas Fehlmann and Luca Santillo, MetriKon, 2010.
• “Can Functional Size Measures Improve Effort Estimation in SCRUM?” Valentina Lenarduzzi and Davide Taibi, The Ninth International Conference on Software Engineering Advances (ICSEA 2014), 2014.
• “Towards Component‒Aware Function Point Measurement,” Luigi Lavazza, Valentina Lenarduzzi, and Davide Taibi, Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement, 2016.
• “An Exploratory Study on Functional Size Measurement based on Code,” Hennie Huijgens, Magiel Bruntink, Arie van Deursen, Tijs van der Storm, and Frank Vogelezang, IEEE/ACM International Conference on Software and System Processes, 2016.
• “Simple Function Points for Effort Estimation: A Further Assessment,” Filomena Ferrucci, Carmine Gravino, and Luigi Lavazza, 31st Annual ACM Symposium, SAC 2016, April 04‒08, 2016.
• “Effort Estimation for Agile Software Development: Comparative Case Studies Using COSMIC Functional Size Measurement and Story Points,” Murat Salmanoglu, Tuna Hacaloglu, and Onur Demirors, IWSM/Mensura, 2017.
• “A Specific Effort Estimation Method Using Function Point,” Bingchiang Jeng, Dowming Yeh, Deron Wang, Shu‒Lan Chu, Journal of Information Science and Engineering, 27, 1363‒1376 (2011).
• “A rule-based approach for estimating software development cost using function point and goal and scenario-based requirements,” Soonhwang Choi, Sooyong Park, and Vijayan Sugumaran, Expert Systems with Applications 39(1):406‒418 · January 2012.
• “Evaluation of Cost Estimation Metrics: Towards a Unified Terminology,” Izzat M. Alsmadi and Maryam S. Nuser, Journal of Computing and Information Technology ‒ CIT 21, 2013, 1, pp. 23–34.
• “Approximation of COSMIC functional size to support early effort estimation in Agile,” Ishrar Hussain, Leila Kosseim, and Olga Ormandjieva, Data and Knowledge Engineering, 2012.
• “A New Business Model for Function Point Metrics,” Capers Jones, Capers Jones and Associates, 8 May 2008.
• “Function Point Estimation Methods: A Comparative Overview,” Roberto Meli and Luca Santillo.
• “A Replicated Study on Correlating Agile Team Velocity in Function and Story Points,” Hennie Huijgens, 5th International Workshop on Emerging Trends in Software Metrics (WeTSOM 2014).
• “Function Points, Use Case Points, Story Points: Observations from a Case Study,” Joe Schofield, Alan Arementrout, and Regina Trujillo, CrossTalk: The Journal of Defense Software Engineering, May/June 2003.
• “Estimate and Measure Agile Projects with Function Points,” Radenko Corovic.
• “Hybridization of Class Responsibility Collaborators Model (HCRCM) with Function Point to enhance Project Estimation Cost in Agile Software Development,” Faki Agebee Silas, Musa Yusuf, Anah Hassan Bijik, Circulation in Computer Science, Vol. 2, No. 6, pp. 20‒24, July 2017.
• “Counting Function Points for Agile / Iterative Software Development,” Carol Dekkers, IFPUG
• “On XML Based Automated Function Point Analysis: An Effective Method to Assess Developer Productivity," Jeffrey S. Lent and Yanzhen Qu, Lecture Notes on Software Engineering, Vol. 3, No. 4, November 2015.
• “Agile Estimation Using Functional Metrics,” Tom Cagley.
• “Function Points and Agile – Hand in Hand,” Amol Kumar Keote, Accenture ‒ India Delivery Centre, 2010.
• “Guideline for Sizing Agile Projects with COSMIC,” Sylvie Trudel and Luigi Buglione, IWSM/MetriKon 2010.
• “Story Points or Function Points or Both?” David Consulting Group, July 2015.
• “Estimating Agile Iterations by Extending Function Point Analysis,” A. Udayan Banerjee, B. Kanakalata Narayanan, and C. Mahadevan P, 2012 World Congress in Computer Science, Computer Engineering and Applied Computing, Las Vegas, Nevada, July 16‒19, 2012.
• “Agile and Function Points: A Winning Combination,” Dan French, 2016 ICEAA Professional Development & Training Workshop, Atlanta, GA 2016.
• “From Story Points to COSMIC Function Points in Agile Software Development – A Six Sigma perspective,” Thomas Fehlmann and Luca Santillo, MetriKon 2010.
• “An approach for effort estimation in incremental software development using cosmic function points,” Freddy Paz, Claudia Zapata, and Jose Antonio Pow-Sang, The 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, September 2014.
• “Using Function Points in Agile Projects,” Célio Santana, Fabiana Leoneo, Alexandre Vasconcelos, and Cristine Gusmão, Lecture Notes in Business Information Processing, May 2011.
• “Approximation of COSMIC Functional Size of Scenario-Based Requirements in Agile Based on Syntactic Linguistic Features—A Replication Study,” Mirosław Ochodek, 2016 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (IWSM‒MENSURA).
• “The COSMIC Functional Size Measurement Method, Version 3.0.1, Guideline for the use of COSMIC FSM to Manage Agile Projects, VERSION 1.0,” September 2011.
• “COSMIC-Based Project Management in Agile Software Development and Mapping onto related CMMI-DEV Process Areas,” Enrico Berardi, Luca Santillo, IWSM/Mensura, Nov 11, 2010.
• “Managing Agile at Scale – A Briefing for Software Executives and Chief Information Officers,” COSMIC, IFPUG, NESMA, July 2017.
• "Automated COSMIC Measurement and Requirement Quality Improvement Through ScopeMaster Tool," Erdir Ungan, Colin Hammond, and Alain Abran, CEUR-MS, Vol 1., IWSM Mensura, 2018.
• “COSMIC Software Estimation Approach,” Alain Abran, ICEAA Workshop, Portland Oregon, June 6‒9, 2017.
• “Approximate COSMIC Size: The Quick/Early Method,” Gabriele De Vito and Filomena Ferrucci, 2014, 40th Euromicro Conference on Software Engineering and Advanced Applications, pp. 69‒76.
• “Cosmic‒Based Project Management in Agile Software Development and Mapping onto Related CMMI‒Dev Process Areas,” Enrico Berardi and Luca Santillo, IWSM/Memsua, 2010.
• “Guideline for Sizing Agile Projects with COSMIC,” Sylvie Trudel and Luigi Buglione, IWSM/MetriKon, 2010.

Parametric Estimating Processes

• "Inside Simulation Software: How It Works and Why It Matters," Thomas J. Schriber and Daniel T. Brunner, Procedings of the 1995 Winter Simulation Conference. 
• "Examining the Value of Monte Carlo Simulation for Project Time Management," Goran Avilljas, Management: Journal of Sustainable Business and Management Solutions in Emerging Economies, 2019, 24(1)
• "Advanced Monte Carlo Methods: General Principles of the Monte Carlo Method," Dr. Michael Mascagni, Swiss Federal Institute of Technology, Zurich 
• "Practical Markov Chain Monte Carlo," Charles J. Geyer, Statistical Science, Vol. 7. No. 4, 1992
• "Empirical Effort and Schedule Estimation Models for Agile Processes in the US DoD," Wilson Rosa, Bradford K. Clark, Raymond Madachy, and Barry W. Boehm, IEEE Transactions on Software Engineering
• "Parametric Cost and Scheule Modeling for Early Technology Development," Johns Hopkins Applied Physics Laboratory, 2018
• "Better Schedule Performance Assessments Derived from Integrated Master Plan‒Referenced Schedule Metrics,” David C. Bachman, Defense Acquisition University, October 2011.
• “Measuring Software Size, Insights from the Past to Guide the Future,” Elizabeth Pendergrass, QSM Webinar, https://www.qsm.com/blog/2020/upcoming-webinar-measuring-software-size-insights-past-guide-future
• “A Guide To Deal With Uncertainties In Software Project Management,” Marcelo Luiz Monteiro Marinho, T. L. A. Lima, and Hermano, International Journal of Computer Science & Information Technology (IJCSIT) Vol 6, No 5, October 2014.
• “Factors Affecting Duration and Effort Estimating Errors in Software Development Projects,” Ofer Morgenstern, Tzvi Raz, Dov Dvir, Information and Software Technology, 49, pp. 827-837, 2007.
• "Decision Making Under Uncertainty and Risky Situations," M. Tagavifard, Reza Tavakkoli-Moghaddam, Jan 2009
• “Tuning of Cost Drivers by Significance Occurrences and Their Calibration with Novel Software Effort Estimation Method,” Brajesh Kumar Singh, Shailesh Tiwari, K. K. Mishra, and A. K. Misra, Advances in Software Engineering, Volume 2013, Article 351913
• “Estimating Project Outcomes,” Narciso Cerpa, ICSSEA 2007-11.
• “Inside the planning fallacy: The causes and consequences of optimistic time predictions,” Roger Buehler, Dale Wesley Griffin, and Michael Ross, in Heuristics and Biases: The Psychology of Intuitive Judgement, Edited by Thomas Gilovich, Dale Griffin, and Daniel Kahneman, Cambridge University Press, 2002.
• “The Application of Closed-Loop Techniques to Engineering Project Planning,” R. W. Haine and W. Lob, IRE Transactions on Engineering Management,” September 1960.
• “Software Cost Estimating Body of Knowledge: Estimation Maturity,” ICEAA Professional Development and Training Workshop, 2017.
• “The Mess of Software Metrics,” Capers Jones, Namcook Analytics, LLC, 2017
• “Software Development Effort Estimation Using Regression Fuzzy Models,” Ali Bou Nassif, Mohammad Azzeh, Ali Idri, and Alain Abran, Computational Intelligence and Neuroscience, Volume 2019.
• “Ensembles and locality: Insight on improving software effort estimation,” Leandro L. Minku and Xin Yao,  Information and Software Technology, Volume 55, Issue 8, pp. 1512-1528, August 2013.
• “An empirical study of maintenance and development estimation accuracy,” Barbara Kitchenham, Shari Lawrence Pfleeger, Beth McColl, and Suzanne Eagan, The Journal of Systems and Software, 64, pp. 57-77.
• “Modern Tools to Support DoD Software Intensive System of Systems Cost Estimation,” Jo-Ann Lane and Barry Boehm, DACS Report Number 347336, 2007.
• "Model-Based Scheduling Analysis for Software Projects," Frank Padberg and David Weiss, 35th Annual Computer Software and Application Conference Workshops, 2011.
• “Software Engineering 201: Software Cost Estimation,” Sebastian Coope, University of Liverpool
• “A Fresh Look at Cost Estimation, Process Models and Risk Analysis,” Frank Padberg, Fakultät fir Informatik, Universität Karlsruhe, Germany, Jan 1999.
• "Methodology for Estimating Working Time Effort of the Software Project," Jakub Štolfa, et. al, Dateso, 2012, pp. 25-37, 2012.
• "What Contributes to the Success of IT Projects? An Empirical Study of IT Projects in the Norwegian Public Sector," Parastoo Mohagheghi, Magne Jørgensen, Journal of Software, Volume 12, Number 9, 2017.
• "Expert Estimation of Software Development Work: Learning through Feedback," Magne Jørgensen Dag Sjøberg Simula Research Laboratory, Norway
• "A review of studies on expert estimation of software development effort," M. Jørgensen, The Journal of Systems and Software, 70 (2004) pp. 37–60.
• "Effort and Schedule Estimation of Software Development,” Østvold and Magne Jørgensen, Journal of Empirical Software Engineering, 2004
• "The role of judgment in software estimation," Steven D. Fraser, Barry Boehm, Hakan Erdogmus, Magne Jørgensen, Steve McConnell, and Stan Rifkin, 31st International Conference on Software Engineering, ICSE 2009, May 16-24, 2009
• “An Adaptive Approach for Software Cost Estimation using Hybrid Model,” Swati Waghmode and Dr. Kishor Kolhe, IJLTEMAS, Volume III, Issue XI, November 2014.
• “Tuning of Cost Drivers by Significance Occurrences and Their Calibration with Novel Software Effort Estimation Method," Brajesh Kumar Singh, Shailesh Tiwari, K. K. Mishra, and A. K. Misra, Advances in Software Engineering, Volume 2013, Article ID 351913, 10 pages.
• “A New Model for Software Cost Estimation Using Harmony Search,” Sahar Sadouni, International Journal in Foundations of Computer Science & Technology (IJFCST), Vol. 5, No. 3, May 2015.
• “Optimizing Software Effort Estimation Models Using Firefly Algorithm,” Nazeeh Ghatasheh, Hossam Faris, Ibrahim Aljarah, Rizik M. H. Al-Sayyed, Journal of Software Engineering and Application, 8, pp.133-142, 2015.
• “I.T. Project Success: Practical Frameworks Based On Key Project Control Variables,” Godfred Yaw Koi-Akrofi, Eleanor Afful, and Henry Akwetey Matey, International Journal of Software Engineering & Applications (IJSEA), Vol.10, No.5, September 2019.
• "Estimation Fulfillment in Software Development Projects," Inaugural-Dissertation, zur Erlangung des Doktorgrades
  des Fachbereichs Wirtschaftswissenschaften der Johann-Wolfgang-Goethe-Universität, Frankfurt am Main, 2011.
• "Software Effort Estimation Inspired by COCOMO and FP Models: A Fuzzy Logic Approach,” Alaa F. Sheta and Sultan Aljahdali, International Journal of Advanced Computer Science and Applications, Vol. 4, No. 11, 2013.
• “Development of Software Effort and Schedule Estimation Models Using Soft Computing Techniques,” Alaa Sheta, David C. Rine, Aladdin Ayseh, IEEE World Congress on Computational Intelligence, Evolutionary Computation, 2008
• "Empirical Assessment and Optimization of Software Cost Estimation Using Soft Computing Techniques,” Gaurav Kumar and Pradeep Kumar Bhatia, Advanced Computing and Communication Technologies, Advances in Intelligent Systems and Computing, 452, 2016.
• "How Does the Transition from Agile to DevOps Impact Software Cost Estimating," David P. Seaver, Senior Technical Advisor Business Intelligence Organization, National Security Agency
• “Unmythology and The Science of Estimation,” Corvus International, Systems Psychology and Software.
• "Using Method of Moments in Schedule Risk Analysis," Raymond P. Covert, SCEA/ISPA Joint Conference and Training Workshop, 2012.
• "Software Development Cost Estimating Guidebook,” Software Technology Support Center Analysis Group, October 2010.
• “Analysis of Software Cost Estimation using Fuzzy Logic,” Isa Maleki, Laya Ebrahimi, Saman Jodati, and Iraj Ramesh, International Journal of Computer Science & Technology (IJFCST), Vol. 4, No. 3, May 2014.
• “Artificial Neural Networks Based Analysis of Software Cost Estimation Models,” Farhad Soleimanian Gharehchopogh, Isa Maleki, and Sahar Sadouni, MAGNT Research Report, Vol. 2 (6), pp. 597-505
• "Effort Estimation in Agile Software Projects using Fuzzy Logic and Story Points," Atef Tayh Rsian, Nagy Ramadan Darwish, and Hesham Ahmed Hefney, The 50th Annual Conference on Statistics, Computer Sciences, and Operation Research, 27-30 Dec 2015
• “Exploiting the Essential Assumptions of Analogy-based Effort Estimation,” Ekrem Kocaguneli, Tim Menzies, Ayse Bener, and Jacky W. Keung, Journal of IEEE Transactions on Software Engineering, Volume 38, Issue 2, March-April 2012.
• “Finding conclusion stability for selecting the best effort predictor in software effort estimation," Jacky Keung, Ekrem Kocaguneli, and Tim Menzies, Automation Software Engineering, 12 May 2012.
• "ASCoT: The Official Release A Web-Based Flight Software Estimation Tool," Jairus Hihn, Elinor Huntington, Alex Lumnah, Michael Saing, Tom Youmans, Systems Analysis, Modeling & Architecture Jet Propulsion Laboratory, California Institute of Technology James Johnson Strategic Investment Division, Office of the Chief Financial Officer
  National Aeronautics and Space Administration, August 29-31, 2017 2017 NASA Cost Symposium. NASA HQ
• “10 Deadly Sins of Software Estimation,” CONSTRUX Software Builder, IEEE Central texas Presentation, 2002
• "A Review of Agile Software Effort Estimation Methods," Samson Wanjala Munialo and Geoffrey Muchiri Muketha, International Journal of Computer Applications Technology and Research, Volume 5 - Issue 9, pp. 613-618, 2016.
• “Software Effort Estimation using Neuro-Fuzzy Inference System: Past and Present,” Aditi Sharma and Ravi Ranjan, International Journal of Recent and Innovation Trend in Computing and Communications, Volume: 5, Issue: 8, pp. 78‒83
• “Methods and Metrics for Estimating and Planning Agile Software Projects,” Edna Dias Canedo and Ruyther Parenta Costa, Twenty-Fourth America Conference of Information Systems, New Orleans, 2018
• “Measuring Effort Estimation Uncertainty to Improve Client Confidence,” John Moses, Software Quality Control 10(2), 135-148
• “Handling Estimation Uncertainty with Bootstrapping: Empirical Evaluation in the Context of Hybrid Prediction Models,” Michael Kläs, Adam Trendowicz, Yasushi Ishigai, and Haruka Nakao, Proceedings of the 5^th International Symposium of Empirical Software Engineering and Measurement, 2011
• “Scope Error Detection and Handling Concerning Software Estimation Models,” Salvatore Alessandro Sarcia, Victor Robert Basili, and Giovanni Cantone, 3^rd International Symposium on Empirical Software Engineering and Measurement, 2009.
• “Numerical Approach to Quantification of Epistemic Uncertainty,” John Jakeman, Michael Eldred, and Dongbin Xiu, PRISM: NNSA Center of Predication of Reliability, Integrity, and Survivability of Microsystems, June 20, 2010.
• “Productivity Measurement of Software Projects Practical Guide,” International Software Benchmarking Standards Group, August 2019.
• "Methods and Metrics for Estimating and Planning Agile Software Projects," Edna Dias Canedo and Ruyther Parenta da Costa, Methods and Metrics for Estimating and Planning Agile Software Projects, Twenty-fourth Americas Conference on Information Systems, New Orleans, 2018
• “A Decision Support System For Estimating Cost Of Software Projects Using A Hybrid Of Multi-Layer Artificial Neural Network And Decision Tree,” Javad Pashaei Barbin and Hassan Rashidi, International Journal in Foundations of Computer Science & Technology (IJFCST), Vol.5, No.6, November 2015.
• "Predictability of the Cost, Time, and Success of Development," A. W. Marshall and W. H. Meckling, Economics Division, The Rand Corporation, P-1821, October 14, 1959, revised December 11, 1959.
• "Cost and Effort Estimation for Agile Software Development," Lindamaswana binti Masbahon and Jamilah binti Din (Dr.) 
• “Agile Software Development Cost Modeling for the US DoD,” Wilson Rosa, Ray Madachy, Bradford Clark, and Barry Boehm, SEI Software and Cyber Solutions Symposium March 27, 2018.
• "Why Nobody In Our Business Can Estimate,” Tim Lister, Boston SPIN May 2002
• “Software Project Estimation,” CSE403: Software Engineering, University of Washington, Paul G. Allen School of Computer Science & Engineering.
• “A Probabilistic Method for Predicting Software Code Growth: 2018 Update,” Eric M. Sommer, Bopha Seng, David L. LaPorte, and Michael A. Ross, 2018 ICEAA Professional Development & Training Workshop.
• “Uncertainty Management in Software Projects,” Marcelo Marinho, Telma Lima, Suzana Sampaio, and Hermano Moura, Journal of Software, Volume 10, Number, March 2015.
• “Effort Distribution to Estimate Cost in Small to Medium Software Development Project with Use Case Points,” Putu Linda Primandari and Sholiq, The Third Information Systems International Conference, Procedia Computer Science, 72, pp. 78‒85, 2015.
• “Cost Modeling Agile Software Development,” Maarit Laanti and Petri Kettunen, International Transactions on Systems and Applications, Volume 1 Number 2, pp. 175‒179, 2006.
• “Performance Evaluation of non‒Markovian Stochastic Event Graphs,” Pierre H. Cubaud, Proceedings of the Sixth International Workshop on Petri Nets and Performance Models, 1995.
• “PERT Completion Time Revisited,” Ted Williams, University of Michigan‒Flint, School of Management, Working Paper Series, September 2005.”
• “Estimating Probable System Cost,” Stephen A. Book, CrossLink: The Aerospace Corporation, Winter, 2000/2001, pp. 12-21.
• “Why Monte Carlo Simulations of Project Networks can Mislead,” Terry Williams, Project Management Journal 35(3), pp. 53‒61, September 2004.
• “Monte Carlo Schedule Risk Analysis,” Intaver Institute, Inc
• “The contribution of mathematical modelling to the practice of project management,” Terry Williams, IMA Journal of Management Mathematics, Volume 14, Issue 1, Jan. 2003, pp. 3‒30.
• “Control Variates for Stochastic Network Simulation,” T. N. Avaramidis and J. R. Wilson, Proceedings of the 1990 Winter Simulation Conference, IEEE.
• “On the Multiplication and Convolution of Homogeneous Distributions,” Peter Wagner, Revista Colombiana de Matemáticas, Vol. XXIV, pp. 183‒198, 1990.
• “Activity Completion Time in PERT and Scheduling Network Simulation, Part II,” Dr. Eva Regnier, DRMI Newsletter, Defense Resources Management Institute, Naval Postgraduate School, Issue 12, April 8, 2005.
• “Effort Estimation of Use Cases for Incremental Large-Scale Software Development,” Pareastoo Mohagheghi, Bente Anda, and Reidat Conradi, Proceedings of the 27th international conference on Software Engineering. ACM, 2005.
• “Software Development Effort Estimation using Fuzzy Bayesian Belief Network with COCOMO II,” B. Chakraborty and K. S. Patnail, International Journal of Software Engineering, IJSE, 8.1, 2015.
• “Benchmarking Effort Estimation Models Using Archetypal Analysis,” Nikolaos Mittas, Vagia Karpenisi, and Lefteris Angelis, ACM PROMIS ’14, September 17, 2014.
• “Development of Simple Effort Estimation Model based on Fuzzy Logic using Bayesian Networks,” Abou Bakar Nauman and Romana Aziz, IJCA Special Issue on Artificial Intelligence Techniques ‒ Nobel Approaches & Practical Applications, AIT 2011.
• “Predicting Web Development Effort Using a Bayesian Network,” Emilia Mendes, EASE, 2007.
• “A conversation around the analysis of the SiP effort estimation dataset,” Derek M. Jones and Stephen Cullum, arXiv preprint arXiv:1901.01621 (2019).
• “Effort Estimation for Mobile Applications Using Use Case Point (UCP),” Anureet Kaur and Kulwant Kaur, Smart Innovations in Communication and Computational Sciences, Springer, Singapore, 2019. 163-172.
• “Categorical Variable Segmentation Model for Software Development Effort Estimation,” Petr Silhavy, Radek Silhavy, And Zdenka Prokopova, IEEE Access, 29 January 2019.
• “Software Development Estimation Techniques in Industrial Contexts: An Exploratory Multiple Case-Study,” Zarour, A. & Zein, S., International Journal of Technology in Education and Science (IJTES), 3(2), 72-84.
• “Eliciting Probabilities from Experts,” Steven Hora, in Advances in Decision Analysis, Chapter 8, Cambridge University Press, pp. 129‒153, 2007
• “Overspend? Late? Failure? What the Data Say About IT project Risk in the Public Sector,” Alexander Budzier and Bent Flyvbjerg, in Commonwealth Governance Handbook, 2012/2013: Democracy, development, and Public Administration, Commonwealth Secretariat, December 2012.
• “Reference Class Forecasting: Resolving Its Challenge to Statistical Modeling,” Robert F. Bordley, The American Statistician, 68:4, pp. 221‒229.
• “How Should We Estimate Agile Software Development Projects and What Data Do We Need?” Glen Alleman and Thomas Coonce, 2017 ICEAA Professional Development & Training Workshop, Portland OR, 2017.
• “How I Estimate Software Development Projects,” Alvin J. Alexander,
• “Estimation of the New Agile XP Process Model for Medium-Scale Projects Using Industrial Case Studies,” M. Rizwan Jameel Qureshi, International Journal of Machine Learning and Computing, Vol. 3, No. 5, October 2013.
• “Issues in Software Cost Estimation,” Abdallah Zaid, Mohd Hasan Selamat, Abdual Azim, Abd Ghani, Rodziah Atan, Tieng Wei Koh,
  “Management Accounting – Enterprise Performance Management,” Group‒IV, Paper‒15, The Institute of Cost and Works Accountants of India, 2010.
• “Estimating Projects Duration in Uncertain Environments: Monte Carlo Simulations Strike Back,” Stefania Tattoni, Massimiliano Schiraldi, and Luigi Laure, 22nd IPMA World Congress 9‒11, November 2008.
• “Why Monte Carlo Simulations are Inferences and not Experiments,” Claus Beisbart and John D. Norton, International Studies in the Philosophy of Science, Vol. 26, No. 4, December 2012, pp. 403‒422.
• “What Works for Whom, Where, When, and Why? On the Role of Context in Empirical Software Engineering”, Tore Dyba, Dag I. K. Sjoberg, Daniela Cruzes, Proceedings of the 2012 ACM‒IEEE International Symposium on Empirical Software Engineering and Measurement, 20‒21 September 2012.
• “Discretization Methods for NBC in Effort Estimation: An Empirical Comparison based on ISBSG Projects,” Marta Fernández-Diego and José-María Torralba-Martínez, Proceedings of the 2012 ACM‒IEEE International Symposium on Empirical Software Engineering and Measurement, 20‒21 September 2012.
• “A deep learning model for estimating story points,” Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, and Tim Menzies, ICSE'17.
• “Cost Data Modelling and Searching to Support Low Volume, High Complexity, Long Life Defence Systems Development,” W. M. Cheung, R. Marsh, L. B. Newnes, A. R. Mileham, and J. D. Lanham, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Manufacture, 229 (5), pp. 835‒846.
• “Prediction accuracy measurements as a fitness function for software effort estimation,” Tomáš Urbǎnek, Zdenka Prokopová, Radek Šilhavy, and Veronika Vesela, Springer Plus, 2015.
• “Which models of the past are relevant to the present? A software effort estimation approach to exploiting useful past models,” Leandro L. Minku and Xin Yao, Automated Software Engineering, 28 December 2016.
• “A Project–Product Model-Based Approach to Planning Work Breakdown Structures of Complex System Projects,” A. Sharon and D. Dori, IEEE Systems Journal, January 2014.
• “A Review of Analytical Models, Approaches and Decision Support Tools in Project Monitoring and Control,” Oncu Hazir, International Journal of Project Management 33(4), September 2014.
• “Estimating Models of Program Management,” Keith Womer and Jeff Camm, Final Technical Reports, N00014-00-1-0280, University of Mississippi, 2003.
• “The simulation of schedule risk paths in submarine pipeline projects using Bayesian networks,” Ying Zou, Bingbing Xu, Shuai Liu, and Jing Zhou, MEIE 2018, IOP Conference Series: Journal of Physics: Conference Series 1074 (2018) 012150.
• “A Predictive Analytics Approach to Project Management: Reducing Project Failures in Web & Software Development Projects,” Tazeen Fatima, International Conference on Data Mining, 2017.
• “The Prediction of Success in Project Management – Predictive Project Analytics,” Jochen Fauser, Markus Schmidthuysen, and Benjamin Scheffold, BDU.
• “Software Development Projects in Government Performance, Practices and Predictions,” International Software Benching Marking Standards Group, January 2004.
• “A Survey on Software Estimation Techniques in Traditional and Agile Development Models,” B. Prakash and V. Viswanathan, Indonesian Journal of Electrical Engineering and Computer Science, Vol. 7, No. 3, September 2017, pp. 867‒876.
• “A Review on Software Cost and Effort Estimation Techniques for Agile Development Process,” Manju Vyas, Amit Bohra, Dr. C.S. Lamba, and Abhilasha Vyas, International Journal of Recent Research Aspects, March 2018, pp. 1‒5.
• “Comparative Analysis of Software Cost ‒ Effort Estimation and Agile in Perspective of Software Development,” Anooja A and Dr. Shalini Rajawat, International Journal of Advanced Research in Computer Science, Volume 8., No. 8, September‒October 2017.
• “Effort, Duration and Cost Estimation in Agile Software Development,” Mohd. Owais and R. Ramakishore, IEEE Computer, 2016.
• “On the Current Measurement Practices in Agile Software Development,” Taghi Javdani, Hazura Zulzalil, Abdul Azim Abd Ghani, Abu Bakar Md Sultan, CoRR abs/1301.5964, 2012.
• “Cost and effort estimation in agile software development,” Rashmi Popli and Naresh Chauhan, 2014 International Conference of Optimization, Reliability, and Information Technology, IEEE Feb 2014.
• “How is Effort Estimated in Agile Software Development Projects?,” Tina Schweighofer, Andrej Kline, Luka Pavlič, and Marjan Heričko, Software Quality Analysis, Monitoring, Improvement, and Applications, August 29‒31, 2016.
• “Effort Estimation in Agile Software Development: An Updated Review,” Emanuel Dantas, Mirko Perkusich, Ednaldo Dilorenzo, Danilo F. S. Santos, Hyggo Almeida, and Angelo Perkusich, Proceedings of the 30th International Conference on Software Engineering & Knowledge Engineering, SEKE 2018, pp. 496‒501.
• “The Use of Simulation Techniques for Hybrid Software Cost Estimation and Risk Analysis,” Michael Kläs, Adam Trendowicz, Axel Wickenkamp, Jürgen Münch, Nahomi Kikuchi, and Yasushi Ishigai, Advances in Computers, Volume 74, Elsevier, 2008.
• “Modeling Uncertainty when Estimating IT Projects Costs,” Michel Winter, Isabelle Mirbel, Pierre Crescenzo, Research Report, I3S, 2014.
• “Software Cost Estimation Approaches: A Survey,” Ismail Keshta, Journal of Software Engineering and Applications, 10, 824‒842, 2017.
• “Context-driven Software Project Estimation,” Jürgen Münch, Jens Heidrich, Proceedings of 2nd ACM‒IEEE International Symposium on Empirical Software Engineering, Vol. 2, pp. 15‒16, September 20 ‒ October 1, 2003.
• “A Systematic Review of Productivity Factors in Software Development,” Stefan Wagner and Melanie Ruhe, Proceedings of 2nd International Workshop on Software Productivity Analysis and Cost Estimation 19 January 2018.
• “Estimation of the COCOMO Model Parameters Using Genetic Algorithms for NASA Software Projects,” Alaa F. Sheta, Journal of Computer Science 2, (2), pp. 118‒123, 2006.
• “A Simulation Tool for Efficient Analogy-Based Cost Estimation,” L. Angelis and I. Stamelos, Empirical Software Engineering, 5, pp. 35‒68, 2000.
• “Software Project Effort and Cost Estimation Techniques,” Jyoti G. Borade and Vikas R. Khalkar, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 8, pp. 730‒739, August 2013.
• “Evaluating Software Project Prediction Systems,” Martin Sheppard, 11th IEEE International Software Metrics Symposium (METRICS 2005).
• “Cost Estimation of Software-Intensive Projects: A Survey of Current Practices,” Jairus Hihn and Hamid Habib-agahi, 13th International Conference on Software Engineering, 1991.
• “Evaluating Project Decisions,” INTAVER Institute.
• “Accuracy of Estimating Project Costs and Benefits: An Overview of Research in Information Systems,” Alexei Botcharev, Journal of Emerging Trends in Computing and Information Sciences, Vol. 6, No., June 2015.
• “Cost estimation in software engineering projects with web components development,” Javier de Andrés, Daniel Fernández-Lanvin and Pedro Lorca, DYNA 82 (192) pp. 266‒275.
• “Comparative Analysis of Software Cost and Effort Estimation Methods: A Review,” Omprakash Tailor, Jyoti Sainim and Poonam Rijwani, International Journal of Computer Science and Mobile Computing, Vol. 3, Issue. 4, April 2014, pp. 1364‒1374.
• “Monte-Carlo simulation of information system project performance,” Weihua Wang, Systems Engineering Procedia, Volume 3, 2012, pp. 340‒345.
• “Forward estimation for ergodic time series,” Gusztáv Morvai and Benjamin Weiss, Annales de l'Institut Henri Poincaré C – PR 41 (2005) 859–870.
• “Monte‒Carlo Simulation in Agile Project Estimation: Forecasting Schedule & Required Velocity,” Ramesh Manickavel, at www.Academia.edu
• “Monte Carlo Method in risk analysis for investment projects,” Victor Platon and Andreea Constantinescu, Proceedia Economics and Finance, 15 pp. 393‒400, 2014.
• “Exploring Monte Carlo Simulation Applications for Project Management,” Young Hoon Kwak, IEEE Engineering Management Review, Vol. 37, No. 2, Second Quarter 2009.
• “A Survey of Bayesian Net Models for Software Development Effort Prediction,” Lukasz Radlinski, International Journal of Software Engineering and Computing, Vol. 2, No. 2, July‒December 2010.
• “Estimation of Project Success Using Bayesian Classifier,” Seiya Abe, Osamu Mizuno, Tohru Kikuno, Nahomi Kikuchi, and Masayuki Hirayama, ICSE ’06, May 20‒28, 2006.
• “Estimating with Use Case Points,” Mike Cohn.
• “Effort Estimation for Agile Software Development Projects,” Andreas Schmietendorf, Martin Kunz, Reiner Dumke, Proceedings 5th Software Measurement European Forum, Milan 2008.
• “An Effort Estimation Model for Agile Software Development,” Ziauddin, Shahid Kamal Tipu, Shahrukh Zia, Advances in Computer Science and its Applications (ACSA) 314 Vol. 2, No. 1, 2012.
• “Methods for Estimating Agile Software Projects: Systematic Literature Review,” Edna Dias Canedo, Dandara Pereira Aranha, Maxwell de Oliveira Cardoso, Ruyther Parente da Costa, Leticia Lopes Leite.
• “Effort Estimation in Agile Software Development using Story Points,” Evita Coelho and Anirban Basu, International Journal of Applied Information Systems (IJAIS), Volume 3, Number 7, August 2012.
• “Using Agile Story Points as an Estimation Technique in CMMI Organizations,” Alaa El-deen Hamouda, Agile 2014.
• “Story Points Based Effort Estimation Model for Software Maintenance," Jitender Choudharia, Dr. Ugrasen Sumanb, Procedia Technology 4 (2012) C3IT‒2012, 761 – 765.
• “What Is the Value of Your Software?” Jelle de Groot, Ariadi Nugroho, Thomas Black, and Joost Visser, Proceedings of the Third International Workshop on Managing Technical Debt. IEEE Press, 2012.
• “Managing the Sources of Uncertainty: Matching Process and Context in Software Development,” Alan MacCormack and Roberto Verganti, The Journal of Product Innovation Management, 2003:20:217‒232.
• “Investment Under Uncertainty in Information Technology: Acquisition and Development Projects,” Eduardo S. Schwartz and Carlos Zozaya‒Gorostiza, Management Science, Vol. 49, No. 1, January 2003, pp. 57‒70.
• “Control of Flexible Software Development Under Uncertainty,” Michael L. Harris, Rosann Webb Collins, and Alan R. Hevner, Information Systems Research, Vol. 20, No. 3, 25 August 2009.
• “State of the Practice in Software Effort Estimation: A Survey and Literature Review,” Adam Trendowicz, Jürgen Münch, Ross Jeffery, IFIP Center and East European Conference on Software Engineering Techniques, pp. 232‒245, 2008.
• “Effort Estimation in Incremental Software Development,” Oddur Benediktsson and Darren Dalcher Software Forensics Centre, Middlesex University, IEE Proceedings – Software, 2004.
• “Estimating Regression Effort in Agile Environment,” Rashmi Popli, Priyanka Malhotra, and Naresh Chauhan, IJCSC, Volume 5, Number 1, March‒September 2014, pp. 23‒28.
• “Schemas for the analytical estimation of the operational properties of agile systems,” Alexander Geyda and Igor Lysenko, SHS Web of Conferences, 35, ICIE‒2017
• “Corad Agile Method for Agile Software Cost Estimation,” Govind Singh Rajput and Ratnesh Litoriya, OALib Journal, 01(03), pp. 1‒13.
• “Operationalizing the Experience Factory for Effort Estimation in Agile Processes,” Davide Taibi, Valentina Lenarduzzi, Philipp Diebold, and Ilaria Lunesu, 21th International Conference on Evaluation and Assessment in Software Engineering, June 2017.
• “An Enhanced Framework for Effort Estimation of Agile Projects,” Atef Tayh Raslan and Nagy Ramadan, International Journal of Intelligent Engineering and Systems, 11(3), June 2018.
• “Effort Estimation in Agile Software Development: An Updated Review,” Emanuel Dantas, Mirko Perkusich, Ednaldo Dilorenzo, and Danilo Santos, SEKE 2018, Software Engineering and Knowledge Engineering.
• “Incorporating Vital Factors in Agile Estimation Through Algorithmic Method,” Shilpa Bhalerao and Maya Ingle, International Journals of Computer Science and Applications, Vol. 6, No. 1, pp. 85‒97, 2009.
• “An Optimized Agile Estimation Plan Using Harmony Search Algorithm,” Sathish Kumar, Kumar, Arunagiri Anitha Kumari, Srinivasa Perumal Ramalingam, International Journal of Engineering and Technology, October 2014.
• “Generalized Agile Estimation Method,” Shilpa Bhalerao and Maya Ingle, Proceeding of the International Conference on Advanced Science, Engineering and Information Technology, 14-15, January 2011.
• “Early Effort Estimation for Quality Requirements by AHP,” Mohamad Kassab, International Conference on Computational Science and Applications, ICCSA 2014, Part V, LNCS 8583, pp. 106–118, 2014.
• “Decisions in software development projects management. An Exploratory Study,” Ricardo Colomo‒Palacios, Cristina Casado‒Lumbreras, Pedro Soto‒Acosta, and Angel Garcia Crespo, Behavior and Information Technology, 32(11):1‒9, January 2011.
• “Belief & Evidence in Empirical Software Engineering,” Prem Devanbu, Thomas Zimmermann, and Christian Bird, ICSE ’16, May 14‒22, 2016, Austin, TX.
• “Does the Use of Fibonacci Numbers in Planning Poker Affect Effort Estimates?” Ritesh Tamrakar and Magne Jørgensen, Simula Research Laboratory, 16th International Conference on Evaluation & Assessment in Software Engineering (EASE 2012).
• “Agile Estimation with Monte Carlo Simulation,” Jaunjuan Zang, International Conference on Agile Processes and Extreme Programming in Software Engineering, XP2008, pp. 172‒179.
• “Story Point Approach Based Agile Software Effort Estimation using Various SVR Kernel Methods,” Shashank Mouli Satapathy, Aditi Panda, and Santanu Kumar Rath, The 26th International Conference on Software Engineering and Knowledge Engineering (SEKE 2014), July 2014.
• “A Systematic Review on Software Cost Estimation in Agile Software Development,” Saurabh Bilgaiyan, Santwana Sagnika, Samaresh Mishra and Madhabananda Das, Journal of Engineering Science and Technology Review, 18 September 2017.
• “An Early Stage Software Effort Estimation in Agile Methodology Based on User Stories Using Machine Learning Techniques,” Dr. S. Rama Sree, Ch. Prasada Rao, and M. Mounika, International Journal for Research in Applied Science & Engineering Technology (IJRASET), Volume 5, Issue XII, December 2015.
• “Negative Results for Software Effort Estimation,” Tim Menzies, Ye Yang, George Mathew, Barry Boehm, Jairus Hihn, Empirical Software Engineering, Volume 22, Issue 5, pp. 2658‒2683, October 2017.
• “A Survey on Effort Estimation in Agile based Software Development Projects," Yarram Anantha Madhuri and Mohit Arora, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 6, Issue 4, April 2016.
• “Agile Project Scheduling in Software Development,” Eric Newby, Et. Al., School of Computational and Applied Mathematics, University of the Witwatersrand, Wits 2050, South Africa.
• “A Proposed Model of Agile Methodology in Software Development,” Anjali Sharma and Karambir, International Journal of Engineering Sciences & Research Technology, July 2016.
• "Empirical Validation of Random Forest for Agile Software Effort Estimation Based on Story Points," Anjali Sharma and Karambir, International Journal of Engineering Sciences and Research Technology, July 2016. 
• “Using historical data in stochastic estimation of software project duration,” Dr. Andy Connor and Professor Stephen MacDonell, 19th Annual Conference of the National Advisory Committee on Computing Qualifications, 2006.
• “Software Estimation: Art or Science?” Krishna M. Dasari, IFPUG 2004 Annual Conference, 23 September 2004.
• “On Uncertainty, Ambiguity, and Complexity in Project Management,” Michael T. Pich, Christoph H. Loch, and Arnoud De Meyer, Management Science, 48, (8), 1008‒1023. Research Collection Lee Kong Chian School of Business.
• “Understand Need “Uncertainty Analysis” in the System Development Modeling Process,” Kardile Vilas Vasantrao, International Journal of Software Engineering & Applications (IJSEA), Vol. 2, No. 3, July 2011.
• “Quantifying Cost and Schedule Uncertainty for Major Defense Acquisition Program (MDAP),” Thomas Light, et. al. Rand RR 1723, 2017.
• “Does Reduced Uncertainty Mean Greater Certainty? Project management with uncertain durations,” Dirk Pons, Project Management Institute of New Zealand (PMINZ) 2006 Conference, Christchurch, New Zealand, 4‒6 Oct. 2006. 2006.
• “A Generalized Network Approach to Project Activity Sequencing,” Raoul J. Freeman, IRE Transactions on Engineering Management, September 1960.
• “Project Scheduling Problem with Uncertain Variables,” Liang Lin, Ting Lou, and Ni Zhan, Applied Mathematics, 2014, Volume 5, pp. 685‒690.
• “Project Scheduling Problem with Fuzzy Activity Duration Times,” Hua Ke and Baoding Liu, IEEE International Conference on Fuzzy Systems, 2004.
• “Project‒Scheduling Problem with Random Time-Dependent Activity Duration Times,” Wei Huang and Lixin Ding, IEEE Transactions on Engineering Management, Vol. 58, No. 2, May 2011.
• “Project scheduling with stochastic activity durations, uncertain activity outcomes and maximum‒NPV objective,” Stefan Creemers, Marc Lambrecht, and Roel Leus.
• “Project Scheduling Problem with Uncertain Activity Duration Times,” Chunxiao Ding and Xingfang Zhang, Applied Mathematics and Computation, Volume 168, Issue 1, 1 September 2005, Pages 342‒353.
• “Quantifying IT Estimation Risks,” G.P. Kulk, R.J. Peters, C. Verhoef, Science of Computer Programming, 74 (2009) 900–933.
• "Future Challenges and Rewards for Software Engineers,” Barry Boehm, STN 10‒3: Future Directions in Software Engineering, Data & Analysis Center for Software.
• “The TRW Software Productivity System,” Barry Boehm, Janes, Elwell, Arthur Pyster, E. Donald Stuckle, and Robert Williams, IEEE, 1982.
• "Software Size Estimation of Object-Oriented Systems” Luiz Laranjeira, IEEE Transactions on Software Engineering, Vol. 16, No. 5, May 1990.
• “Estimate faster, cheaper... and better!” Harlod van Heeringen, Proceedings 8th Software Measurement European Forum, Rome 2011.
• “The Psychology of Cost Estimating,” Andy Price, NASA/Marshall Space Flight Center, Engineering Cost Office, June 10, 2015.
• “Assuring Credibility in the Cost Estimate,” Henry Apgar, June 2016 ICEAA Workshop, Portland, OR.
• “Addressing Uncertainty in Estimating the Cost for a Product‒Service‒System Delivering Availability: Epistemology and Ontology," Yee Mey Goh, Linda Newnes, Ettore Stannic, Nils Thenent, and Glenn Parry, Chapter 7 of Ontology Modeling in Physical Asset Integrity Management, Springer International Publishing, 2015.
• “Determinism and the Paradox of Predictability,” Stefan Rummens and Stefaan Cuypers, Erkenntnis March 2010, Volume 72, Issue 2, pp. 233–249.
• “A simulation study of the model evaluation criterion MMRE,” Tron Foss, Erik Stensrud, Barbara Kitchenham, Ingunn Myrtveit, IEEE Transactions on Software Engineering, Volume: 29, Issue: 11, Nov. 2003.
• “COBRA: A Hybrid Method for Software Cost Estimation, Benchmarking, and Risk Assessment,” Lionel C. Briand, Khaled El Emam, Frank Bomarius,
• “Does Calibration Improve Predictive Accuracy?” David Peters, George Dewey, Daniel Ferens, and David Christensen, Cross Talk: The Journal of Defense Software Engineering, April 2000, pp. 14‒17.
• “An Investigation of Nonparametric Data Mining Techniques for Acquisition Cost Estimating,” Capt. Gregory E. Brown, USAF, and Edward D. White, Defense Acquisition Research Journal, April 2017, Volume 24, Number 2, pp. 302‒332.
• “Enhanced Scenario-Based Method for Cost Risk Analysis: Theory, Application, and Implementation,” Mr. Peter Braxton, Dr. Brian Flynn, Dr. Paul Garvey, and Mr. Richard Lee, SCEA/ISPA Joint Annual Conference and Training Workshop, 2012.
• “Monte‒Carlo simulation of information system project performance,” Weihua Yanga and Cong Tian, Systems Engineering Procedia, 3 (2012) 340 – 345.
• “Applications of Monte Carlo,” Herman Kahn, RM‒1237‒AEC, Atomic Energy Commission, 19 April 1954, prepared under contract to RAND Corporation
• “Project Decision Analysis Process,” Lev Virine, Intaver Institute, January 2014.
• “Learning and Making Decisions When Costs and Probabilities are Both Unknown,” Bianca Zadrozny and Charles Elkan, Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ’01, Pages 204‒213, August 26 ‒ 29, 2001.
• “A Novel Approach for Estimating Truck Factors,” Guilherme Avelino, Leonardo Passos, Andre Hora, and Marco Tulio Valente, 24th International Conference on Program Comprehension (ICPC).
• “Comparison among Methods of Modeling Epistemic Uncertainty in Reliability Estimation,” Nam Ho Kim, Min Young Yoo, and Joo‒Ho Choi, The Eighth China‒Japan‒Korea Joint Symposium on Optimization of Structural and Mechanical Systems, May 25‒29, 2014.
• “Uncertainty in Through‒Life Costing—Review and Perspectives,” Yee Mey Goh, Linda B. Newnes, Antony R. Mileham, Chris A. McMahon, and Mohammad E. Saravi, IEEE Transactions on Engineering Management, Vol. 57, No. 4, November 2010.
• “Probabilistic Economics,” John J. McCall, The Bell Journal of Economics and Management Science, Vol. 2, No. 2 (Autumn, 1971), pp. 403‒433.
• “A Review of Studies on Expert Estimation of Software Development Effort,” M. Jørgensen, Journal of Systems and Software, Vol. 70, No. 1‒2, pp. 37‒60, 2004.
• “Advancement of decision‒making in Agile Projects by applying Logistic Regression on Estimates,” Lakshminarayana Kompella, CA Technologies, 13 August 2013.
• “How to Estimate Software Size and Effort in Iterative Development,” Aleš Živkovič, Marjan Heričko, in Information and Software Technology, vol. 50, issue. 7‒8, pp. 772‒781.
• “How to Make Best Use of Cross-Company Data for Web Effort Estimation?” Leandro Minku, Federica Sarro, Emilia Mendes, and Filomena Ferrucci, ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), IEEE, 2015.
• “User Story Software Estimation: A Simplification of Software Estimation Model with Distributed Extreme Programming Estimation Technique,” Ridi Ferdiana, Paulus Insap Santoso, Lukito Edi Nugroho, and Ahmad Ashari, Scientific Journal of Information Technology, Vol. 9, No. 1, January 2011.
• “Decision Making in Agile Development: A Focus Group Study of Decisions and Obstacles,” Meghann Drury, Kieran Conboy, and Ken Power, IEEE Agile Conference, 2011.
• “MVP Explained: A Systematic Mapping Study on the Definitions of Minimal Viable Product,” Valentina Lenarduzzi and Davide Taibi, Euromicro SEAA, 2016.
• “A Decision Model for Estimating the Effort of Software Projects using Bayesian Theory,” Foad Marzoughi, Mohammad Mehdi Farhangian, Ali Marzoughi, Alex Tze Hiang Sim, 2nd International Conference on Software Technology and Engineering (ICSTE), 2010.
• “Towards improving decision making and estimating the value of decisions in value-based software engineering: the VALUE framework,” Emilia Mendes, Pilar Rodriguez, Vitor Freitas, Simon Baker, and Mohamed Amine Atoui, Software Quality Journal, 17 March 2017.
• “A Probabilistic Model for Predicting Software Development Effort,” Parag C. Pendharkar, Girish H. Subramanian, and James A. Rodger, IEEE Transactions on Software Engineering, Vol. 31, No. 7, July 2005.
• “A Software Size Estimation Method Based on Improved FPA,” Ya‒Fang Fu, Xiao-dong Liu, Ren‒nong Yang, DU Yi‒Lin, LI Yan‒Jie, Second WRI World Congress on Software Engineering, 2010.
• “An Empirical Study of eServices Product UML Sizing Metrics,” Yue Chen, Barry W. Boehm, Ray Madachy, and Ricardo Valerdi, International Symposium on Empirical Software Engineering, 2004. ISESE '04. Proceedings. 2004.
• “A Model-Based and Automated Approach to Size Estimation of Embedded Software Components,” Kenneth Lind and Rogardt Heldal, MODELS 2011, LNCS 6981, J. Whittle, T. Clark, and T. Kühne (Eds.), pp. 334–348, 2011.
• “A Model-Based and Automated Approach to Size Estimation of Embedded Software Components,” Kenneth Lind and Rogardt Heldai, International Conference on Model-Driven Engineering, Languages, and Systems, pp. 334-348
• “Historical Data Repositories in Software Engineering: Status and Possible Improvements," Luigi Lavazza Luca Santillo, 2012 Joint Conference of the 22nd International Workshop on Software Measurement and the 2012 Seventh Annual Conference on Software Process and Product Measurement (IWSM-MENSURA)
• “The Cone of Uncertainty,” Stephen Gryphon, Philippe Kruchten, and Steve McConnell, Letters, IEEE Software, 23 (5) 2006, pp 8‒10.
• “Uncertainty in Through‒Life Costing—Review and Perspectives,” Yee Mey Goh, Linda B. Newnes, Antony R. Mileham, Chris A. McMahon, and Mohammad E. Saravi, IEEE Transactions on Engineering Management, Vol. 57, No. 4, November 2010.
• “Perspectives on prediction: Does third-person imagery improve task completion estimates?” Roger Buehler, Dale Griffin, Kent C. H. Lam, Jennifer Deslauriers, Organizational Behavior and Human Decision Processes, 117, 2012, pp. 138–149.
• “Exploring the "Planning Fallacy": Why People Underestimate Their Task Completion Times,” Roger Buehler, Dale Wesley Griffin, and Michael Ross, Journal of Personality and Social Psychology, 1994, Vol. 67, No. 3.366‒381.
• “Using Real Options to Quantify Portfolio Value in Business Cases,” George O. Bayer Jr., ICEAA 2017 Professional Development & Training Workshop, March 27, 2017.
• “Adapting a classic Independent Cost Estimation (ICE) Cost Shop for Agile and DevOPS estimates,” David P. Seaver, National Security Agency, Software & IT CAST Conference, August 2017.
• “Bottom-Up Methods of Estimating Software SEPM and Non‒DCTI Cost, “James R. Black, 2017 ICEAA Professional Development & Training Workshop, June 2017.
• “Project Team Sizing and Cost Forecasting using Norden-Rayleigh Curves,” Alan R Jones, ACostE Conference, 3 November 2011.
• “Phase Distribution of Software Development Effort,” Ye Yang, Mei He, Mingshu Li, Qing Wang, Barry Boehm, ESEM’08, October 9‒10, 2008.
• “A Study on Software Development Month Effort,” Yinlong Liu, Yong Wang, Journal of Software, Volume 10, Number 7, July 2015.
• “Software Engineering Economics,” Barry W. Boehm, CSSE USC Technical Report, 1984.
• “The Evolution of Software Size: A Search for Value,” Arlene Minkiewicz, Cross Talk: The Journal of Defense Software Engineering, March/April 2009.
• “Unskilled and Unaware of It: How Difficulties in Recognizing One’s Own Incompetence Lead to Inflated Self‒Assessments,” Justin Kruger and David Dunning, Journal of Personality and Social Psychology, 1999, Vol. 77, No. 6, pp. 1212‒1134.
• “PCA based cost estimation model for agile software development projects,” Sakshi Garg and Daya Gupta, 2015 International Conference on Industrial Engineering and Operations Management (IEOM).
• “A Proposed Model of Agile Methodology in Software Development,” Anjali Sharma and Karambir, International Journal of Engineering Sciences & Research Technology, July 2016.
• “Effort Estimation in Agile Global Software Development Context,” Ricardo Britto, Muhammad Usman, and Emilia Mendes, Agile Methods. Large‒Scale Development, Refactoring, Testing, and Estimation: XP 2014 International Workshops, Rome, Italy, May 26‒30, 2014.
• “Predicting development effort from user stories. In: Empirical software engineering and measurement (ESEM),” Pekka Abrahamsson, Ilenia Fronza, Raimund Moser Jelena Vlasenko, and Witold Pedrycz, 2011 International Symposium on Empirical Software Engineering and Measurement.
• “Empirical assessment of machine learning models for agile software development effort estimation using story points,” Shashank Mouli Satapathy and Santanu Kumar Rath, Innovations in Systems and Software Engineering, pp 1‒10.
• “Procedures and Software for Assessing Uncertainty in Cost Estimates,” Henry L. Eskew and Walter R. Nunn, Center for Naval Analyses, CRM‒95‒87, June 1995.
• “Cost Estimating Risk and Cost Estimating Uncertainty Guidelines,” Timothy P. Anderson and Jeffrey S. Cherwonik, Acquisition Review Quarterly, Summer 1997.
• “The Trouble with Budgeting to the 80th Percentile,” Timothy P. Anderson, Washington Area Chapter of SCEA, 15 November 2006.
• “Space Systems Cost Risk Handbook Applying the Best Practices in Cost Risk Analysis to Space System Cost Estimates,” Edited by Timothy P. Anderson and Raymond P. Covert, Space Systems Cost Analysis Group, 16 November 2005.
• “A Collective Study of PCA and Neural Network based on COCOMO for Software Cost Estimation,” Rina M. Waghmode, L.V. Patil, and S.D Joshi, International Journal of Computer Applications, Volume 74– No. 16, July 2013.
• “Integrating Risk Assessment with Cost Estimation,” Kari Känsälä, IEEE Software, May/June 1997.
• “Valuation of Software Initiatives under Uncertainty: Concepts, Issues, and Techniques,” Hakan Erdogmus, John Favaro and Michael Halling, VBSE 2005.
• “Software economics: status and prospects,” Barry Boehm and Kevin Sullivan, Information and Technology 41, 1999, pp. 937‒946.
• “Software Effort, Quality, and Cycle Time: A Study of CMM Level 5 Projects,” Manish Agrawal and Kaushal Chari, IEEE Transactions on Software Engineering, Vol. 33, No. 3, March 2007.
• “Estimating the development cost of custom software,” Ioannis Stamelosa, Lefteris Angelis, Maurizio Morisio, Evaggelos Sakellaris, and George L. Bleris, Information & Management 40 (2003) pp. 729–741.
• “Examining the Feasibility of a Case-Based Reasoning Model for Software Effort Estimation,” Tridas Mukhopadhyay, Steven S. Vicinanza, Michael J. Prietula, International Conference on Information Systems, Copenhagen, Denmark, December 1990.
• “Estimating Software Based on Use Case Points,” Edward Carroll, OOPSLA’05, October 16–20, 2005.
• “Comparison of Functional Size Based Estimation and Story Points, Based on Effort Estimation Effectiveness in SCRUM Projects,” Erdir Ungan, Numan Çizmeli, and Onur Demirörs, 2014 40th Euromicro Conference on Software Engineering and Advanced Applications, pp. 77‒80.
• “Software Development Cost Estimation Approaches – A Survey,” Barry Boehm, Chris Abts, and Sunita Chulani, Ph. D. Qualifying program, Computer Science Department, University of Southern California, 1998.
• “Software Estimation, Enterprise-Wide, Part I” Vitalie Temnenco, IBM Developer Works, June 15, 2007.
• “Software Estimation, Enterprise-Wide, Part II” Vitalie Temnenco, IBM Developer Works, June 15, 2007.
• “Practical Applications of Statistical Process Control,” Edward Weller, IEEE Software, May/June 2000.
• “Modern Tools to Support DoD Software Intensive System of Systems Cost Estimation,” Jo Ann Lane and Barry Boehm, A DACS State of the Art Report, DACS Report Number 347336, 31 August 2007.
• “CLB023 Software Cost Estimating,” Defense Acquisition University.
• “Phase wise Effort Estimation for Software Maintenance: An Extended SMEEM Model,” Jitender Choudhari and Ugrasen Suman, CUBE’12, September 3–5, 2012.
• “An Empirical Study on Adjustment Factors to Estimate Maintenance Cost of Applications Developed Using Components,” Byoung‒Chol Lee and Sung Yul Rhew, Lecture Notes on Software Engineering, Vol. 2, No. 1, February 2014.
• “Future Challenges for Software Data Collection and Analysis,” Barry Boehm, PROMISE Keynote, 2009.
• “How to Fix Agile teams that are Notoriously Bad at Hitting Release Dates,” Dr. Sven Jungmann and Alex Loijos, Crunch Network, Jan 3, 2017.
• “Estimation Bias and Mitigation with Agile Estimate Guidance, 2017 Edition,” Dan Galorath, ICEAA SoCal Workshop, 14 December 2016.
• “Uncertainty Analysis and the Project Cost Estimating Capability,” Andy Price, Brian Alford, Blake Boswell, and Matt Pitlyk, NASA Cost Symposium, August 2014.
• “Special Topics in Software Estimation Software Cost Estimating for Iterative/Incremental Development Programs Agile Cost Estimating,” SEER Galorath NASA CAS, July 2014.
• “Commercial‒Like Acquisitions: Practices and Costs,” Wilmer Alvarado, Daniel Barkmeyer and Erik Burgess, Journal of Cost Analysis and Parametrics, 3:1, 41‒58, 2010.
• “Ranking and Clustering Software Cost Estimation Models through a Multiple Comparisons Algorithm,” Nikolaos Mittas and Lefteris Angelis, IEEE Transactions on Software Engineering, Vol. 39, No. 4, April 2013.
• “Estimation of the new agile XP process model for medium‒scale projects using industrial case studies,” M. Rizwan Jameel Qureshi, International Journal of Machine Learning and Computing, Vol. 3, No. 5, October 2013.
• “A deep learning model for estimating story points,” Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, and Tim Menzies, ICSE ‘17.
• “Selecting Software Estimating Techniques that Fit the Software Process,” Kal Toth, 37th Pacific NW Software Quality Conference, 2009.
• “User Story Software Estimation: A Simplification of Software Estimation Model with Distributed Extreme Programming Estimation Technique,” Ridi Ferdiana, Paulus Insap Santoso, Lukito Edi Nugroho, and Ahmad Ashari, JUTI, Volume 9, Number 1, January 2011, pp‒ 41‒48.
• “Early Software Project Estimation the Six Sigma Way,” Thomas Michael Fehlmann and Eberhard Kranich, in Agile Methods. Large‒Scale Development, Refactoring, Testing, and Estimation, pp 193‒208.
• “Model-Based Dynamic Cost Estimation and Tracking Method for Agile Software Development,” Sungjoo Kang, Okjoo Choi, and Jongmoon Baik, 9th IEEE/ACIS International Conference on Computer and Information Science, IEEE/ACIS ICIS 2010, 18‒20 August 2010, Yamagata, Japan
• “A method to effort estimation for XP projects in client’s perspective,” E. Karunakaran and N. Sreenath, International Journal of Applied Engineering Research 10(7):18529‒18550 · January 2015
• “Functional Size Measures and Effort Estimation in Agile Development: A Replicated Study,” Valentina Lenarduzzi, Ilaria Lunesu, Martina Matta, and Davide Taibi, Foundation of Computer Science FCS, New York, USA. Volume 3– No. 7, August 2012.
• “Effort estimation in agile software development,” Andreas Schmietendorf, Martin Kunz, Reiner Dumke, Proceedings 5th Software Measurement European Forum, Milan 2008.
• “Software Intensive Systems Data Quality and Estimation: Research in Support of Future Defense Cost Analysis,” Technical Report SERC‒2012‒TR‒032‒1, Systems Engineering Research Center, Stevens Institute of Technology, March 16, 2012.
• “Performance Analysis of the Software Cost Estimation Methods: A Review,” Sweta Kumari and Shashank Pushkar, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 7, July 2013.
• “Statistical Analysis of Various Models of Software Cost Estimation,” T. N. Sharma, Anil Bhardwaj, G. R. Kherwa, International Journal of Engineering Research and Applications (IJERA), Vol. 2, Issue 3, May-Jun 2012, pp. 683‒685.
• “Extreme Software Cost Estimating,” Randall W. Jensen, Crosstalk: The Journal of Defense Software Engineering, January 2004.
• “An Impact of Linear Regression Models for Improving the Software Quality with Estimated Cost,” Arun Kumar Marandi and Danish Ali Khan, Eleventh International Multi-Conference on Information Processing‒2015 (IMCIP‒2015), 2015.
• “A Novel Algorithm for Software Development Cost Estimation Based on Fuzzy Rough Set,” Rui Wang, Pin Peng, Ling Xu, Xiao‒Xin Huang, and Xiu‒Ling Qiao, Journal of Engineering Science and Technology Review, 9 (4) (2016) 217 – 223.
• “Software cost estimating for CMMI Level 5 developers,” Corinne C. Wallshein and Andrew G. Loerch, Journal of Systems and Software, Volume 105, July 2015, Pages 72‒78.
• “Communication of software cost estimates,” Magne Jørgensen, EASE2014.
• “Optimism bias within the project management context,” James Prater, Konstantinos Kirytopoulos and Tony Ma, International Journal of Managing Projects in Business, April 2017.
• “Classification and Prediction of Software Cost through Fuzzy Decision Trees,” Efi Papatheocharous and Andreas S. Andreou, Lecture Notes in Business Information Processing, Enterprise Information Systems, 234‒247, May 2009.
• “Experimental Study Using Functional Size Measurement in Building Estimation Models for Software Project Size,” Nelly Condori‒Fernandez, Maya Daneva, Luigi Buglione, and Olga Ormanjieva, Eighth ACIS International Conference on Software Engineering Research, Management and Applications, 2010.
• “Uncertainty in through-life costing‒review and perspectives,” Yee Mey Goh, Linda Newnes, Anthony Mileham, Charis McMahon, and Mohammad Saravi, IEEE Transactions on Engineering Management, 57(4), pp. 689‒701.
• “Review of hardware cost estimation methods, models and tools applied to early phases of space mission planning,” O. Trivailo, M. Sippel, Y. A. Şekercioğlu, Progress in Aerospace Sciences, 53, pp. 1‒17, 2012.
• “Unbounding Bounded Rationality: Heuristics as The Logic of Economic Discovery,” Anna Grandori and Magdalena Cholakova, International Journal of Organization Theory and Behavior, 16 (3), pp. 368‒392, Fall 2013.
• “Complexity in Defence Projects How Did We Get Here?” Mary McKinlay, Concept Symposium 2010, Ocarsborg, Norway.
• “Keys of Success: Software Measurement, Software Estimating, Software Quality,” Caper Jones, Namcook Analytics, LLC, 4 August 2015.
• “A Cost Model for Early Cost Calculation of Agile Deliveries,” Eric van der Vliet, ICEAA Workshop 2017.
• “Error Propagation in Software Measurement & Estimation,” Luca Santillo, 20th IMEKO TC4 International Symposium and 18th International Workshop on ADC Modeling and Testing.
• “From requirements to project effort estimates – work in progress (still?),” Charles Symons and Cigdem Gencel, REFSQ Conference, Essen, Germany, April 2013.
• “Efficient Indicators to Evaluate the Status of Software Development Effort Estimation inside the Organizations,” Elham Khatibi and Roliana Ibrahim, International Journal of Managing Information Technology (IJMIT), Vol. 4, No. 3, August 2012.
• “Towards an Early Software Effort Estimation Based on Functional and Non‒Functional Requirements,” Mohamed Kassab, Maya Daneva, and Olga Ormandjieva, IWSM/Mensura 2009, LNCS 5891, pp. 182–196, 2009.
• “Recommending Effort Estimation Methods for Software Project Management,” Bernhard Peischl, Mihai Nica, Markus Zanker, and Wolfgang Schmid, Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Vol. 3 (WPRRS Workshop), Milano, Italy, 2009, pp. 77‒80.
• “A comparative evaluation of effort estimation methods in the software life cycle,” Popović Jovan, Bojić Dragan, Computer Science, and Information Systems, Volume 9, Issue 1, pp. 455‒484.
• “Understanding of Software Effort Estimation at the Early Software Development of the Life Cycle ‒ A Literature Review,” Kardile Vilas Vasantrao, International Journal of Engineering Research and Applications, Vol. 2, Issue 1, Jan‒Feb 2012, pp. 848‒852.
• “The Inaccurate Conception: Some Thoughts on the Accuracy of Estimates," Phillip G. Armour, Communications of the ACM, March 2008, Vol. 51, No. 3.
• “A Survey on Software Cost Estimation in the Chinese Software Industry,” Da Yang, Qing Wang, Mingshu Li, Ye Yang, Kai Ye, and Jing Du, ESEM’08, October 9‒10, 2008, Kaiserslautern, Germany.
• “Improving Software Development Tracking and Estimation Inside the Cone of Uncertainty,” Pongtip Aroonvatanaporn, Thanida Hongsongkiat, and Barry Boehm, Technical Report USC‒CSSE‒2012‒504, Center for Systems and Software Engineering, University of Southern California, 2012.
• “Summarization of Software Cost Estimation,” Xiaotie Qina and Miao Fang, Procedia Engineering, 15 (2011), 3027‒3031.
• “Software Cost Estimation with Incomplete Data," Kevin Strike, Khaled El Emam, and Nazim Madhavji, IEEE Transactions on Software Engineering, Vol. 27, No. 10, October 2001.
• “Software Engineering Economics,” Barry Boehm, IEEE Transactions on Software Engineering, Vol SE‒10(1), 1984, pp. 4‒21.
• “Software Cost Estimation Using Economic Production Models,” Qing Hu and Robert Plant, Journal of Management Information Systems, June 1998.
• “Decision Making Under Uncertainty,” 14.123 Microeconomic Theory III, Muhamet Yildiz, MIT OCW Course.
• “Final Report Briefing Analytic Method for Cost and Schedule Risk Analysis,” Raymond Covert, 4 March 2013, NASA.
• "Analytical Method for Probabilistic Cost and Schedule Risk Analysis," Final Report, Raymond P. Covert, 5 April 2013.
• “State of Michigan Project Estimating Guide: A ‘How To’ Guide for Project Schedule Estimation, Building a WBS and Project Budget Estimation,” Michigan Department of Technology, Management and Budget, October 2014.
• “Estimation Tools and Techniques,” Luigi Buglione and Christof Ebert, IEEE Software, May/June 2011.
• “Myth Buster: Do Engineers Trust Parametric Models Over Their Own Intuition?” Ricardo Valerdi
• “Software Cost Estimating Models: A Calibration, Validation, and Comparison,” Gerald L. Ourada and Daniel V. Ferens, Cost Estimating and Analysis, Springer 1992.
• “Curing the Software Requirements and Cost Estimating Blues the Fix is Easier Than You Might Think,” Major Mike Nelson, John Clark, and Martha Ann Spurlock, Program Manager, November‒December 1999.
• “An Evaluation of Software Cost Estimating Models,” Robert Thibodeau, RADC‒TR‒81‒144, Rome Air Development Center, June 1981.
• “Software Cost Estimating Methods for Large Projects,” Capers Jones, CrossTalk: The Journal of Defense Software Engineering, April 2005.
• “Software Cost Estimation,” F. J. Heemstra, Cost Estimation for Software Development, Addison‒Wesley, 1987.
• “Software Cost Estimating,” M. Stanley, Royal Signals and Radar Establishment, 13 May 1982.
• “Improving Efficiency of Fuzzy Models for Effort Estimation by Cascading & Clustering Techniques," Rama Sree Pa, Ramesh SNSVSC, International Conference on Computational Modeling and Security (CMS 2016)
• "Simulation of Kanban-Based Scheduling for Systems of Systems: Initial Results," Alexey Tregubov and Jo Ann Lane, Procedia Computer Science, 2015
• “Do’s, Don’ts and Whys for Basis of Estimate,” Lynne Ziter, NCMA Boston, 13 March 2013.
• “Fractal‒COSYSMO Systems Engineering Cost Estimation for Complex Projects,” Manish Khadtare and Eric Smith, Complex Adaptive Systems, Volume 1 Cihan H. Dagli, Editor in Chief Conference Organized by Missouri University of Science and Technology 2011‒ Chicago, IL.
• “Mother of all Guesses: A User-Friendly Guide to Statistical Estimation,” Francois Melese and David Rose, Naval Postgraduate School, Armed Forces Comptroller, 1998.
• “Subjective Probability Distribution Elicitation in Cost Risk Analysis A Review,” Lionel A. Galway, RAND Corporation, Project Air Force, 2007.
• “Mathematical modeling of Lewis and COCOMO‒II software cost estimation using regulatory focus theory,” Dinesh Bhagwan Hanchate and Rajan Bichkar, Applied Discrete Mathematics and Heuristic Algorithms 1(2):5‒25, August 2015.
• “How much does a vacation cost?: or what is a software cost estimate?” Magne Jørgensen, Simula Research Laboratory, Norway, ACM SIGSOFT Software Engineering Notes, Volume 28 Issue 6, November 2003 Pages 5‒5.
• “Software Development Effort Estimation: Formal Models or Expert Judgment?”, Magne Jorgensen and Barry Boehm, IEEE Software, March‒April 2009.
• “Practical Application and Empirical Evaluation of Reference Class Forecasting for Project Management,” Jordy Batselier and Mario Vanhoucke, Project Management Journal, October 2016, pp. 36‒51.
• “Cost Uncertainty Assessment and Management: The Integrated Cost‒Risk Analysis Model,” Vaggelis Bellos, Vrassidas Leopoulos, and Michael Sfantsikopoulos, WSEAS Transactions on Computers 3.4 (2004): 1055‒1061.
• “A Handbook of Cost Risk Analysis Methods,” Philip Lurie, Matthew Goldberg, and Mitchell Robinson, Institute for Defense Analyses, Paper P‒2734, April 1993.
• “FRISK: Formal Risk Assessment of System Cost Estimates.” Philip H. Young, Aerospace Design Conference, February 1992.
• “Likelihood and the Bayes Procedure?” Hirotigu Akaike, Institute of Statistical Mathematics, Tokyo Japan. 1980.
• “Cognitive Limits of Software Cost Estimation,” Ricardo Valerdi, ESEM 200, First International Symposium on Empirical Software Engineering and Management, 2007.
• “The Monte Carlo Method,” Nicholas Metropolis and S. Ulam, Journal of the American Statistical Association, Number 247, Volume 44, September 1945.
• “Reliability and Accuracy of the Estimation Process – Wideband Delphi vs. Wisdom of Crowds,” Marek Grzegorz Stochel, 2011 35th IEEE Annual Computer Software, and Applications Conference.
• “Believing is Seeing: Confirmation Bias Studies in Software Engineering," Magne Jørgensen and Efi Papatheocharous, 41st Euromicro Conference on Software Engineering and Advanced Applications (SEAA).
• “Numerical anchors and their strong effects on software development effort estimates,” Erik Løhrea, and Magne Jørgensen, Simula Research Laboratory, Oslo.
• “Review on Traditional and Agile Cost Estimation Success Factor in Software Development Project,” Zulkefli Mansor, Saadiah Yahya, Noor Habibah Hj Arshad, International Journal on New Computer Architectures and Their Applications (IJNCAA), 1(3): 942–952.
• “Release Planning & Buffered MoSCoW Rules,” Dr. Eduardo Miranda, Institute for Software Research ASSE 2013 ‐ 14th Argentine Symposium on Software Engineering / 42 JAIIO (Argentine Conference on Informatics), September 16th, 2013, Cordoba, Argentina.
• “Fixed price without fixed specification,” Magne Jørgensen, Simula Research Laboratory, 15 March 2016.
• “The Use of Precision of Software Development Effort Estimates to Communicate Uncertainty,” Magne Jørgensen, Software Quality Days. The Future of Systems‒and Software Development. Springer International Publishing, 2016.
• “The Influence of Selection Bias on Effort Overruns in Software Development Projects,” Magne Jørgensen, Simula Research Laboratory & Institute of Informatics, University of Oslo.
• “Software effort estimation terminology: The tower of Babel,” Stein Grimstad, Magne Jørgensen, Kjetil Moløkken‒Østvold, Information, and Software Technology 48 (2006) 302–310.
• “Planning and Executing Time‒Bound Projects,” Eduardo Miranda, IEEE Computer, March 2002, pp. 73 ‒ 78.
• “When 90% Confidence Intervals are 50% Certain: On the Credibility of Credible Intervals,” Karl Halvor Teigen and Magne Jørgensen, Applied Cognitive Psychology, 19: 455–475 (2005).
• “Software quality measurement,” Magne Jørgensen, Advances in Engineering Software, 30 (1999) 907–912.
• “Group Processes in Software Effort Estimation,” Kjetil Moløkken‒østvold and Magne Jørgensen, Empirical Software Engineering, 9, 315–334, 2004.
• “Story Point Estimating,” Richard Carlson, ALEA, Agile and Lean Associates, 2013.
• “Project Estimation in the Norwegian Software Industry – A Summary,” Kjetil Moløkken, Magne Jørgensen, Sinan S. Tanilkan, Hans Gallis, Anette C. Lien, and Siw E. Hove, Simula Research Laboratory.
• “Software Estimation using a Combination of Techniques,” Klaus Nielsen, PM Virtual Library, 2013.
• “An Effort Prediction Interval Approach Based on the Empirical Distribution of Previous Estimation Accuracy,” Magne Jørgensen and D. I. K. Sjøberg, Simula Research Laboratory, Norway.
• “Better Sure than Safe? Overconfidence in Judgment Based Software Development Effort Prediction Intervals,” Magne Jørgensen, Karl Halvor Teigen, and Kjetil Moløkken‒Østvold, Journal of Systems and Software, February 2004.
• “The Impact of Irrelevant and Misleading Information on Software Development Effort Estimates: A Randomized Controlled Field Experiment,” Magne Jørgensen and Stein Grimstad, IEEE Transactions on Software Engineering, Volume 37, Issue 5, September ‒ October 2011.
• “The Heisenberg Uncertainty Principle and Its Application to Software,” P. A. Laplante, ACM SIGSOFT Software Engineering Notes, Vol. 15 No. 5 Oct 1990, Page 21.
• “Experience with the Accuracy of Software Maintenance Task Effort Prediction Models, Magne Jørgensen, IEEE Transactions on Software Engineering, Vol. 21, No. 8, August 1995.
• “Conducting Realistic Experiments in Software Engineering,” Dag I. K. Sjøberg, Bente Anda, Erik Arisholm, Tore Dybå, Magne Jørgensen, Amela Karahasanovic, Espen F. Koren and Marek Vokác, International Symposium on Empirical Software Engineering, 2002.
• “Forecasting of software development work effort: Evidence on expert judgment and formal models,” Magne Jørgensen, International Journal of Forecasting, 23(3) pp. 449‒462, July 2004.
• “Software effort estimation terminology: The tower of Babel,” Stein Grimstad, Magne Jørgensen, Kjetil Moløkken‒Østvold, Information and Software Technology, 48 (2006) 302–310.
• “A Systematic Review of Software Development Cost Estimation Studies,” Magne Jørgensen and Martin Shepperd, IEEE Transactions on Software Engineering, Vol. 33, No. 1, January 2007.
• “Towards a Fuzzy-Based Framework for Effort Estimation in Agile Software Development,” Atef Tayh Raslan, Nagy Ramadan Darwish, and Hesham Ahmed Hefny, (IJCSIS) International Journal of Computer Science and Information Security, Vol. 13, No. 1, 2015.
• “Evaluation of Model Evaluation Criterion for Software Development Effort Estimation,” S. K. Pillai, and M. K. Jeyakumar, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, Vol: 9, No: 1, 2015.
• “Modern Tools to Support DoD Software Intensive System of Systems Cost Estimation: A DACS State‒of‒the‒Art Report,” August 2007.
• “Software Effort Estimation with Ridge Regression and Evolutionary Attribute Selection,” Efi Papatheocharous, Harris Papadopoulos and Andreas S. Andreou, 3rd Artificial Intelligence Techniques in Software Engineering Workshop, 7 October 2010, Larnaca, Cyprus.
• “The Business of Software Estimation Is Not Evil: Reconciling agile approaches and project estimates,” Phillip G. Armour, Communications of the ACM, January 2014, Vol. 57, No. 1.
• “Analysis of Empirical Software Effort Estimation Models,” Saleem Basha and Dhavachelvan P, (IJCSIS) International Journal of Computer Science and Information Security, Vol. 7, No. 3, 2010.
• “Empirical Estimation of Hybrid Model: A Controlled Case Study,” Sadaf Un Nisa and M. Rizwan Jameel Qureshi, I.J., Information Technology and Computer Science, 2012, 8, 43–50.
• “Identification of inaccurate effort estimates in agile software development,” Florian Raith, Ingo Richter, Robert Lindermeier, and Gudrun Klinker, 2013, 20th Asia‒Pacific Software Engineering Conference (APSEC).
• “Efficient Indicators to Evaluate the Status of Software Development Effort Estimation inside the Organizations,” Elham Khatibi and Roliana Ibrahim, International Journal of Managing Information Technology (IJMIT), Vol. 4, No. 3, August 2012.
• “Modern Project Management: A New Forecasting Model to Ensure Project Success,” Iman Attarzadeh and Ow Siew Hock, International Conference on Future Computer and Communication, 2009.
• “Using public domain metrics to estimate software development effort,” Ross Jeffery, Melanie Ruhe, and Isabella Wieczorek, Proceedings Seventh International Software Metrics Symposium, 2001.
• “What We Do and Don’t Know about Software Development Effort Estimation,” Magne Jørgensen, IEEE Software, March / April 2014.
• “The Beginning of The Monte Carlo Method,” Nicholas Metropolis, Los Alamos Science Special Issue, 1987.
• “A review of studies on expert estimation of software development effort,” Magne Jørgensen, The Journal of Systems and Software, 70 (2004) 37–60.
• “How to Avoid Impact from Irrelevant and Misleading Information when Estimating Software Development Effort,” Magne Jørgensen & Stein Grimstad, Simula Research Laboratory.
• “Avoiding Irrelevant and Misleading Information When Estimating Development Effort,” Bente Anda, Hege Dreiem, Dag I. K. Sjøberg1, and Magne Jørgensen, IEEE Software, Volume 25, Issues 3, May‒June 2008.
• “A Note on Early Monte Carlo Computations and Scientific Meetings,” Cuthbert C. Hurd, Annals of the History of Computing, Volume 7, Number 2, April 1985.
• “Prediction of project outcome: The Application of Statistical Methods to Earned Value Management and Earned Schedule Performance Indexes,” Walt Lipke, Ofer Zwikael, Kym Henderson, and Frank Anbari, International Journal of Project Management, 27, pp. 400‒407, 2009.
• “The ROI of Agile VS. Traditional Methods? An Analysis of XP, TDD, Pair Programming, and Scrum (Using Real Options),” Dr. David Rico, http://w.davidfrico.com/rico08b.pdf
• “Exploring the ‘Planning Fallacy’: Why People Underestimate Their Task Completion Times,” Roger Buehler, Dale Griffin, and Michael Ross, Journal of Personality and Social Psychology, Vol 67(3), Sep 1994, 366‒38.
• “Pair Programming and Software Defects—A Large, Industrial Case Study,” Enrico di Bella, Ilenia Fronza, Nattakarn Phaphoom, Alberto Sillitti, Giancarlo Succi, and Jelena Vlasenko, IEEE Transactions on Software Engineering, Vol. 39, No. 7, July 2013.
• “Estimates, Uncertainty, and Risk,” Barbara Kitchenham and Stephen Linkman, University of Keele, IEEE Software, May / June 1997.
• “Software Project Scheduling under Uncertainties,” Intaver Institute Inc.
• “A Comparison of Software Project Overruns—Flexible versus Sequential Development Models,” Kjetil Moløkken‒Østvold and Magne Jørgensen, IEEE Transactions on Software Engineering, Volume 31, Issue 9, September 2005.
• “Cost Estimating Issues for MAIS Programs Using an Agile Approach for SW Development,” Richard Mabe, 22 September 2015, DoD Agile Meeting: Enhancing Adoption of Agile Software Development in DoD, PARCA OSD, September 2015.
• “An Empirical Investigation on Effort Estimation in Agile Global Software Development,” Ricardo Britto, Emilia Mendes, and Jurgen Borstler, 2015 IEEE 10th International Conference on Global Software Engineering.
• “Planning, Estimating, and Monitoring Progress in Agile Systems Development Environments,” Suzette S. Johnson, IEEE Software Technology Conference, 2010.
• “Improving Subjective Estimates Using Paired Comparisons,” Eduardo Miranda, IEEE Software, January/February 2001.
• “A Comparison of Software Project Overruns—Flexible versus Sequential Development Models,” Kjetil Moløkken‒Østvold and Magne Jørgensen, IEEE Transactions on Software Engineering, Volume 31, Issue 9, September 2005.
• “Using Performance Indices to Evaluate the Estimate at Completion,” David Christensen, Journal of Cost Analysis and Management, Spring 17–24.
• “Reliability Improvement of Major Defense Acquisition Program Cost Estimates—Mapping DoDAF to COSYSMO,” Ricardo Valerdi, Matthew Dabkowski, and Indrajeet Dixit, Systems Engineering, Volume 18, Issue 4, 2015.
• “Fallacies and biases when adding effort estimates,” Magne Jørgensen, 40th EUROMICRO Conference on Software Engineering and Advanced Applications, 27‒29 August 2014.
• “The Use of Precision of Software Development Effort Estimates to Communicate Uncertainty,” Magne Jørgensen, Software Quality Days. The Future of Systems‒and Software Development. Springer.
• “Communication of Software Cost Estimates,” Magne Jørgensen, https://www.simula.no/file/simulasimula2498pdf/download
• “Relative Estimation of Software Development Effort: It Matters with What and How You Compare,” Magne Jørgensen, IEEE Software (2013): 74‒79.
• “Reasons for Software Effort Estimation Error: Impact of Respondent Role, Information Collection Approach, and Data Analysis Method," Magne Jørgensen and Kjetil Moløkken‒Østvold, IEEE Transactions on Software Engineering, Vol. 30, No. 12, December 2004.
• “Use Case Points: An estimation approach,” Gautam Banerjee, https://goo.gl/QcPmYd
• “Software Cost Estimation Methods: A Review," Vahid Khatibi and Dayang N. A. Jawawi, Journal of Emerging Trends in Computing and Information Sciences, Volume 2 No. 1.
• “Software cost estimation,” Chapter 26, Software Engineering, 9th Edition, Ian Sommerville, 2010.
• “Estimating Development Time and Effort of Software Projects by using a Neuro-Fuzzy Approach,” Venus Marza and Mohammad Teshnehlab, in Advanced Technologies, INTECH Open, October 2009.
• “Advanced Topics in Agile Planning,” Mike Cohn, Mountain Goat Software.
• “Schedule Assessment Guide: Best Practices for Schedule Assessment,” GAO‒16‒89G.
• “A Bayesian Software Estimating Model Using a Generalized g‒Prior Approach,” Sunita Chulani and Bert Steece, Technical Report, USC‒CSE‒98515.
• “A Model for Software Development Effort and Cost Estimation,” Krishnakumar Pillai and V.S. Sukumaran Nair, IEEE Transactions on Software Engineering, Vol. 23, No. 8, August 1997.
• “An Alternative to the Rayleigh Curve Model for Software Development Effort,” F. N. Parr, IEEE Transactions on Software Engineering, Vol. SE–6, NO. 3, May 1980.
• Fifty Quick Ideas to Improve Your User Stories, Gojko Adzix, and David Evans, http://leanpub.com/50quickideas
• “The Use of Agile Surveillance Points: An Alternative to Milestone Reviews,” Richard “Dick” Carlson, http://www.a2zalea.com/wp–content/uploads/2014/02/Agile–Surveillance–Points_20140113.pdf
• “A Planning Poker Tool for Supporting Collaborative Estimation in Distributed Agile Development,” Fabio Calefato and Filippo Lanubile, ICSEA 2011, The Sixth International Conference on Software Engineering Advances.
• “Successful Solutions Through Agile Project Management,” ESI International White Paper, 2010.
• “Towards a Fuzzy-based Framework for Effort Estimation in Agile Software Development,” Atef Tayh Raslan, Nagy Ramadan Darwish, and Hesham Ahmed Hefny, (IJCSIS) International Journal of Computer Science and Information Security, Vol. 13, No. 1, 2015.
• “Improving Subjective Estimations Using Paired Comparisons,” Eduardo Miranda, IEEE Software Magazine, Vol. 18, No. 1, January 2001.
• “Sprint Planning Optimization in Agile Data Warehouse Design,” Matteo Golfarelli, Stefano Rizzi, and Elisa Turricchia, LNCS 7448, pp. 30–41, 2012.
• “Effort Estimation in Global Software Development: A Systematic Literature Review,” Ricardo Britto, Vitor Freitas, Emilia Mendes, and Muhammad Usman, IEEE 9th International Conference on Global Software Engineering, 2014.
• “An evaluation of the paired comparisons method for software sizing,” Eduardo Miranda, Proceedings of the 2000 International Conference on Software Engineering.
• “Protecting Software Development Projects Against Underestimation,” Eduardo Miranda and Alain Abran, Project Management Journal, Volume 39, Issue 3, Pages 75‒85, September 2008.
• “Sizing User Stories Using Paired Comparisons,” Eduardo Miranda, Pierre Bourque, and Alain Abran, Information and Software Technology, Volume 51, Issue 9, September 2009, Pages 1327–1337.
• “A Model for Estimating Agile Project Schedule Acceleration,” Dan Ingold, Barry Boehm, Supannika Koolmanojwong, and Jo Ann Lane, Center for Systems and Software Engineering, University of Southern California, Los Angeles, 2013.
• “Cost Estimation in Agile Development Projects,” Siobhan Keaveney and Kieran Conboy, International Conference on Information Systems Development (ISD2011) Prato, Italy.
• “Replanning, Reprogramming, and Single Point Adjustments,” July 2013, NAVY CEVM (Center for Earned Value Management).
• “Software Cost Estimating for Iterative / Incremental Development Programs – Agile Cost Estimating,” NASA CAS, July 2014.
• “Could Social Factors Influence the Effort Software Estimation?” Valentina Lenarduzzi, 7th International Workshop on Social Software Engineering (SSE), At Bergamo (Italy), September 2015.
• “Object-Oriented Software Cost Estimation Methodologies Compared,” D. Gregory Foley & Brenda K. Wetzel, Society of Cost Estimating and Analysis – International Society of Parametric Analysts, 22 December 2011, pp 41‒63.
• “Fix Your Estimating Bad Habits,” Ted M. Young, http://www.slideshare.net/tedyoung/fix‒you‒some‒bad‒estimation‒habits
• “How to Estimate and Agile Project,” Saunders Learning Center, http://www.slideshare.net/FloydSaunders/how‒to‒estimate‒an‒agile‒project
• “Metrics for Agile Projects: Finding the Right Tools for the Job,” ESI International, https://www.projectsmart.co.uk/white–papers/metrics–for–agile–projects.pdf
• “The Sprint Planning Meeting, Richard “Dick” Carlson, http://www.a2zalea.com/wp–content/uploads/2014/02/SprintPlanningMeeting_20140118.pdf
• “Software Development Estimation Biases: The Role of Interdependence,” Magne Jørgensen and Stein Grimstad, IEEE Transactions on Software Engineering, Vol. 38, No. 3, May/June 2012.
• “Managing Projects of Chaotic and Unpredictable Behavior,” Richard “Dick” Carlson, http://www.a2zalea.com/wp–content/uploads/2014/02/Managing–Projects–of–Chaotic–and–Unpredictable–Behavior_20140219.pdf
• ‘Practical Guidelines for Expert‒Judgement‒Based Software Effort Estimation,” Magna Jørgensen, IEEE Software, May/June 2005.
• “How do you estimate on an Agile project? Exploring Common Approaches and Their Adaptations for Real-World Projects,” eBook, ThoughtWorks, 2013.
• “On the problem of the software cost function,” J. J. Dolado, Information, and Software Technology 43 (2001) 61–72.
• “Software Project Effort Estimation: Foundations and Best Practice Guidelines for Success,” 2014th Edition, Adam Trendowicz, and Ross Jeffery, Springer.
• “Unit effects in project estimation: It matters whether you estimate in work‒hours or workdays,” Magne Jørgensen Journal of Systems and Software (2015).
• “Estimating Software Development Effort based on Use Cases – Experiences from Industry,” Bente Anda, Hege Dreiem, Dag I. K. Sjøberg1, and Magne Jørgensen, Proceedings of the 4th International Conference on The Unified Modeling Language, Modeling Languages, Concepts, and Tools, Pages 487‒502.
• “A Neuro-Fuzzy Model with SEER‒SEM for Software Effort Estimation,” Wei Lin Du, Danny Ho, Luiz Fernando Capretz, 25th International Forum on COCOMO and Systems/Software Cost Modeling, Los Angeles, CA, 2010.
• “A Program Manager's Guide for Software Cost Estimating,” Andrew L. Dobbs, Naval Postgraduate School, December 2002.
• “An Engineering Context for Software Engineering,” Richard D. Riehle, September 2008, Naval Postgraduate School.
• “Application of Real Options Theory to Software-intensive System Acquisitions,” Albert O. Olagbemiro, Monterey, California. Naval Postgraduate School, 2008.
• “Next Generation Software Estimating Framework: 25 Years and Thousands of Projects Later,” Michael A. Ross, Journal of Cost Analysis and Parametrics, Volume 1, 2008 ‒ Issue 2.
• “A Probabilistic Method for Predicting Software Code Growth,” Michael A. Ross, Journal of Cost Analysis and Parametrics, Volume 4, 2011 ‒ Issue 2.
• “Application of selected software cost estimating models to a tactical communication switching system: tentative analysis of model applicability to an ongoing development program,” William B. Collins, Naval Postgraduate School
• “An examination of project management and control requirements and alternatives at FNOC,” Charlotte Ruth Gross, Naval Postgraduate School.
• “Software cost estimation through Bayesian inference of software size," In Kyoung Park, Naval Postgraduate School.
• “Using the agile development methodology and applying best practice project management processes,” Gary R. King, Naval Postgraduate School.
• “Calibrating Function Points Using Neuro-Fuzzy Technique,” Vivian Xia, Danny Ho, and Luiz F. Capretz, 21st International Forum on Systems, Software, and COCOMO Cost Modeling, Washington, 2006.
• “Organizational Structure Impacts Flight Software Cost Risk,” Jairus M. Hihn, Karen Lum, and Erik Monson, Journal of Cost Analysis and Parametrics, Volume 2, 2009 ‒ Issue 1.
• “Estimate of the appropriate Sprint length in agile development by conducting simulation,” Ryushi Shiohama, Hironori Washizaki, Shin Kuboaki, Kazunori Sakamoto, and Yoshiaki Fukazawa, 2012 Agile Conference, 13‒17 August 2012, Dallas Texas
• “Advancement of decision making in Agile Projects by applying Logistic Regression on Estimates,” Lakshminarayana Kompella, 2013 IEEE 8th International Conference on Global Software Engineering Workshops.
• “Estimating in Actual Time,” Moses M. Hohman, IEEE Proceedings of the Agile Development Conference (ADC’05), Denver, Colorado 24‒29 July 2005.
• “Cost Estimation in Agile Development Projects,” Siobhan Keaveney and Kieran Conboy, ECIS 2006 Proceedings.
• “Coping with the Cone of Uncertainty: An Empirical Study of the SAIV Process Model,” Da Yang, Barry Boehm, Ye Yang, Qing Wang, and Mingshu Li, ICSP 2007, LNCS 4470, pp. 37–48, 2007.
• “Combining Estimates with Planning Poker – An Empirical Study,” Kjetil Moløkken‒Østvold and Nils Christian Haugen, Proceedings of the 2007 Australian Software Engineering Conference (ASWEC'07).
• “A Case Study Research on Software Cost Estimation Using Experts’ Estimates, Wideband Delphi, and Planning Poker Technique,” Taghi Javdani Gandomani, Koh Tieng Wei, and Abdulelah Khaled Binhamid, International Journal of Software Engineering and Its Applications, Vol. 8, No. 11 (2014), pp. 173‒182.
• “Algorithmic Based and Non‒Algorithmic Based Approaches to Estimate the Software Effort,” WanJiang Han, TianBo Lu, XiaoYan Zhang, LiXin Jiang, and Weijian Li, International Journal of Multimedia and Ubiquitous Engineering, Vol. 10, No. 4 (2015), pp. 141‒154.
• “Reducing Estimation Uncertainty with Continuous Assessment: Tracking the 'Cone of Uncertainty’” Pongtip Aroonvatanaporn, Chatchai Sinthop and Barry Boehm, Center for Systems and Software Engineering University of Southern California, Los Angeles, CA 90089, ASE’10, September 20–24, 2010, Antwerp, Belgium, 2010.
• “Integrated Approach of Software Project Size Estimation,” Brajesh Kumar Singh, Akash Punhani, and A. K. Misra, International Journal of Software Engineering and Its Applications, Vol. 10, No. 2 (2016), pp. 45‒64.
• “Investigating the Effect of Using Methodology on Development Effort in Software Projects,” Vahid B. Khatibi, Dayang N. A. Jawawi, and Elham Khatibi, International Journal of Software Engineering and Its Applications, Vol. 6, No. 2, April 2012.
• “Data-Driven Decision Making as a Tool to Improve Software Development Productivity,” Mary Erin Brown, Walden University, 2013.
• “Applying Agile Practices to Space-Based Software Systems,” Arlene Minkiewicz, Software Technology Conference, Long Beach, CA 31 March – 3 April 2014.
• “Estimating the Effort Overhead in Global Software Development,” Ansgar Lamersdorf, Jurgen Munch, Alicia Fernandez‒del Viso Torre, Carlos Rebate Sanchez, and Dieter Rombach, 5th IEEE International Conference on Global Software Engineering, 2010.
• “A Proposed Framework for Software Effort Estimation Using the Combinational Approach of Fuzzy Logic and Neural Networks,” Pawandeep Kaur and Rupinder Singh, International Journal of Hybrid Information Technology, Vol. 8, No. 10 (2015), pp. 73‒80.
• “Software Estimating Rules of Thumb,” Capers Jones, http://www.compaid.com/caiinternet/ezine/capers‒rules.pdf
• “Why Are Estimates Always Wrong: Estimation Bias and Strategic Misestimation,” Daniel D. Galorath, http://www.iceaaonline.com/ready/wp‒content/uploads/2015/06/RI03‒Paper‒Galorath‒Estimates‒Always‒Wrong.pdf
• “Using planning poker for combining expert estimates in software projects,” K. Moløkken‒Østvold, N. C. Haugen, and H. C. Benestad, Journal of Systems and Software, vol. 81, issue 12 (2008) pp. 2106–2117.
• “Effort Distribution to Estimate Cost in Small to Medium Software Development Project with Use Case Points,” Putu Linda Primandari and Sholiq, The Third Information Systems International Conference, 2015.
• “Estimation of IT‒Projects Highlights of a Workshop,” Manfred Bundschuh, Metrics News, Vol. 4, Nr. 2, December 1999, pp. 29 – 37, https://www.itmpi.org/Portals/10/PDF/bundschuh‒est.pdf
• “Curbing Optimism Bias and Strategic Misrepresentation in Planning: Reference Class Forecasting in Practice,” Bent Flyvbjerg, European Planning Studies, Vol. 16, No. 1, January 2008.
• “The Use of Precision of Software Development Effort Estimates to Communicate Uncertainty,” Magne Jørgensen, Software Quality Days. The Future of Systems‒and Software Development, Springer International Publishing, 2016.
• “Numerical anchors and their strong effects on software development effort estimates,” Erik Løhrea, and Magne Jørgensen, Journal of Systems and Software (2015).
• “A Neuro-Fuzzy Model for Function Point Calibration,” Wei Xia, Danny Ho, and Luiz Fernando Capretz, WSEAS, Transactions on Information Science & Applications, Issue 1, Volume 5, January 2008.
• “Unit effects in project estimation: It matters whether you estimate in work‒hours or workdays,” Magne Jørgensen, Journal of Systems and Software (2015), https://www.simula.no/file/time‒unit‒effect‒woauthorinfpdf/download
• “Fallacies and biases when adding effort estimates,” Magne Jørgensen, Proceedings at Euromicro/SEEA.: IEEE, 2014.
• “How Does Project Size Affect Cost Estimation Error? Statistical Artifacts and Methodological Challenges,” International Journal of Project Management, 30 (2012): 751‒862, https://www.simula.no/file/simulasimula742pdf/download
• “Does the Use of Fibonacci Numbers in Planning Poker Affect Effort Estimates?” Ritesh Tamrakar and Magne Jørgensen, 16th International Conference on Evaluation & Assessment in Software Engineering, 2012.
• “Using inferred probabilities to measure the accuracy of imprecise forecasts,” Paul Lehner, Avra Michelson, Leonard Adelman, and Anna Goodman, Judgment and Decision Making, Vol. 7, No. 6, November 2012, pp. 728–740.
• “Software Development Effort Estimation: Why it fails and how to improve it,” Magne Jørgensen, Simula Research Laboratory & University of Oslo, https://www.simula.no/file/simulasimula1688pdf/download
• “Contrasting Ideal and Realistic Conditions as a Means to Improve Judgment‒Based Software Development Effort Estimation,” Magne Jørgensen, Information and Software Technology, 53 (2011): 1382‒1390.
• Software Effort Estimation as Collaborative Planning Activity Kristin Børte, https://www.simula.no/file/simulasimula1226pdf/download
• “Human judgment in planning and estimation of software projects,” https://www.simula.no/file/simulasimula886pdf/download
• “An Empirical Study of Using Planning Poker for User Story Estimation,” Nils C. Haugen, Proceedings of AGILE 2006 Conference (AGILE’06).
• “A Framework for the Analysis of Software Cost Estimation Accuracy,” Stein Grimstad and Magne Jørgensen, ISESE'06, September 21–22, 2006.
• “An Empirical Investigation on Effort Estimation in Agile Global Software Development,” Ricardo Britto, Emilia Mendes, and Jurgen Borstler, IEEE 10th International Conference on Global Software Engineering, 2015.
• “Software Effort Estimation: Unstructured Group Discussion as a Method to Reduce Individual Biases,” Kjetil Moløkken and Magne Jørgensen, Incremental and Component-Based Software Development, October 2003, University of Oslo.
• “A Case Study on Agile Estimating and Planning using Scrum,” Viljan. Mahnic, Elektronika ir Elektrotechnika (Electronics and Electrical Engineering), 2011. No. 5(111).
  “Review on Traditional and Agile Cost Estimation Success Factor in Software Development Project,” Zulkefli Mansor, Saadiah Yahya, Noor Habibah Hj Arshad, International Journal on New Computer Architectures and Their Applications (IJNCAA) 1(3): 942‒952.
• “A Collective Study of PCA and Neural Network based on COCOMO for Software Cost Estimation,” Rina M. Waghmode, L.V. Patil, and S.D Joshi, International Journal of Computer Applications (0975 – 8887) Volume 74– No. 16, July 2013.
• “iUCP: Estimating Interactive‒Software Project Size with Enhanced Use‒Case Points,” Nuno Jardim Nunes, Larry Constantine, and Rick Kazman, IEEE Software, Issue No. 04 ‒ July/August (2011 vol. 28).
• “Estimating Software Project Effort Using Analogies,” Martin Shepperd and Chris Schofield, IEEE Transactions on Software Engineering, Vol. 23, No. 12, November 1997.
• “Software Engineering Economics,” Barry W. Boehm, Software Information Systems Division, TRW Defense Systems Group, Redondo Beach, CA 90278
• “Adapting, Correcting, and Perfecting Software Estimates: A Maintenance Metaphor,” Tarek K. Abdel‒Hamid, March 1993.
• “Estimating software projects,” R. Agarwal, Manish Kumar t, Yogesh, S. Mallick, RM. Bharadwaj, D. Anantwar, ACM Software Engineering Notes, Vol 26 No. 4 July 2001, Pg. 6.
• “Cost estimation in agile development projects,” Siobhan Keaveney and Kieran Conboy, Proceedings of the Fourteenth European Conference on Information Systems, ECIS 2006, Göteborg, Sweden, 2006.
• “Managing Uncertainty in Agile Release Planning,” K. McDaid, D. Greer, F. Keenan, P. Prior, P. Taylor, G. Coleman, Proceedings of the Eighteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2006).
• “Research Challenges of Agile Estimation,” Rashmi Popli, Dr. Naresh Chauhan, International Journal of IT & Knowledge Management, Volume 7 • Number 1 • December 2013 pp. 108‒111 (ISSN 0973‒4414).
• “Agile Software Development in Large Organizations,” Mikael Lindvall, Dirk Muthig, Aldo Dagnino Christina Wallin, Michael Stupperich, David Kiefer, John May, and Tuomo Kähkönen, IEEE Computer, December 2004.
• "Adoption of Team Estimation in a Specialist Organizational Environment, “ Tor Erlend Fægri, Lecture Notes in Business Information Processing, June 2010.
• “The Relationship between Customer Collaboration and Software Project Overruns,” Kjetil Moløkken‒Østvold and Kristian Marius Furulund, IEEE Agile Conference, 13‒17 August 2007.
• “Improving Estimations in Agile Projects: Issues and Avenues,” Luigi Buglione, Alain Abran, Proceedings Software Measurement European Forum (SMEF), 2007.
• “Allowing for Task Uncertainties and Dependencies in Agile Release Planning,” Kevin Logue, Kevin McDaid, and Des Geer, Proceedings Software Measurement European Forum (SMEF), 2007.
• “Fundamental uncertainties in projects and the scope of project management,” Roger Atkinson, Lynn Crawford, and Stephen Ward, International Journal of Project Management, 24 (2006) 687–698.
• “Improving estimation accuracy by using Case-Based Reasoning and a combined estimation approach,” Srinivasa Gopal and Meenakshi D’Souza, Proceedings of ISEC '12, Feb. 22‒25, 2012.
• “Effort Estimation in Agile Software Development: A Systematic Literature Review,” Muhammad Usman, Emilia Mendes, Francila Weidt, and Ricardo Britto, Proceedings of the 10th International Conference on Predictive Models in Software Engineering, 2014, Pages 82‒91.
• “Incremental effort prediction models in Agile Development using Radial Basis Functions,” Raimund Moser, Witold Pedrycz, and Giancarlo Succi, SEKE 2007.
• “Applying Combined Efforts of Resource Capability of Project Teams for Planning and Managing Contingency Reserves for Software and Information Engineering Projects,” Peter H. Chang, GSTF Journal on Computing (JoC), Vol. 2 No. 3, October 2012.
• “Evidence-Based Software Engineering and Systematic Reviews,” Barbara Ann Kitchenham, David Budgen and Pearl Brereton, November 5, 2015.
• “Software Quality – Traditional vs. Agile: An Empirical Investigation,” Mohamad Kassab, JooYoung Lee, and Manuel Mazzara, Giancarlo Succi, Rasul Tumyrkin, ArXiv, 2016.
• “The Signal and the Noise in Cost Estimating,” Christian B. Smart, Ph.D., 2016 International Training Symposium, Bristol England, 2016.
• “The QUELCE Method: Using Change Drivers to Estimate Program Costs,” Sarah Sheard, April 2016, Software Engineering Institute.
• “Software Cost and Schedule Estimating: A Process Improvement Initiative,” Robert Park, Wolfhart Goethert, J. Todd Webb, Special Report CMU/SEI‒94‒SR‒3 May 1994.
• “Organizational Considerations for the Estimating Process,” Bob Ferguson, Software Engineering Institute, November 2004.
  “A Parametric Analysis of Project Management Performance to Enhance Software Development Process,” N. R. Shashikumar, T. R. Gopalakrishnan Nair, Suma V, IEEE International Conference on Advanced Research in Engineering and Technology (ICARET), 2013.
• “Checklists and Criteria for Evaluating the Cost and Schedule Estimating Capabilities of Software Organizations,” Robert E. Park, CMU/SEI‒95‒SR‒005.
• “A Manager's Checklist for Validating Software Cost and Schedule Estimates,” Robert E. Park, Special Report CMU/SEI‒95‒SR‒004, January 1995.
• ACE Accurate Confident Estimating TSP Symposium November 4, 2014, Pittsburgh, PA, Team Software Process (TSP) Symposium, 4 Nov 2014, SEI Carnegie Mellon University.
• “A Simulation and Evaluation of Earned Value Metrics to Forecast the Project Duration,” Mario Vanhoucke and Stephan Vandevoorde, The Journal of the Operational Research Society, Vol. 58, No. 10 (Oct. 2007), pp. 1361‒1374.
• “Avoid Software Project Horror Stories: Check the Reality Value of the Estimate First!”, Harold van Herringen, ICEAA 2014.
• “Factors Affecting Duration and Effort Estimation Errors in Software Development Projects,” Ofer Morgenstern, Tzvi Raz, and Dov Dvir, Working Paper No 8/2005, Henry Crown Institute of Business Research, Israel. http://recanati‒bs.tau.ac.il/Eng/?CategoryID=444&ArticleID=747
• “An Empirical Validation of Software Cost Estimation Models,” Chris F. Kemerer, Research Contributions, Management of Computing, Communications of the ACM, May 1987, Volume 30, Number 5.
• “A Decision Support System to Choose Optimal Release Cycle Length in Incremental Software Development Environments,” Avnish Chandra Suman, Saraswati Mishra, and Abhinav Anand, International Journal of Software Engineering & Applications (IJSEA), Vol.7, No.5, September 2016.
• “Protecting Software Development Projects Against Underestimation,” Eduardo Miranda, Alain Abran, École de technologie supérieure ‒ Université du Québec, http://mse.isri.cmu.edu/software‒engineering/documents/faculty‒publications/miranda/mirandaprotectingprojectsagainstunderestimations.pdf
• “Improving Subjective Estimates Using Paired Comparisons,” Eduardo Miranda, IEEE Software, January/February 2001.
• “Improving Estimations in Agile Projects: Issues and Avenues,” Luigi Buglione, Alain Abran, Software Measurement European Forum – SMEF2007, Rome (Italy), May 8‒11, 2007.
• “Estimation of Software Development Effort from Requirements Based Complexity,” Ashish Sharma, Dharmender Singh Kushwaha, 2nd International Conference on Computer, Communication, Control and Information Technology (C3IT 2012), February 25 ‒ 26, 2012.
• “Estimating the Test Volume and Effort for Testing and Verification & Validation,” Alain Abran, Juan Garbajosa, Laila Cheikhi1, First Annual ESA Workshop on Spacecraft Data Systems and Software ‒ SDSS 2005, ESTEC, Noordwijk, European Space Agency, Netherlands, 17‒20 October 2005.
• “A General Empirical Solution to the Macro Software Sizing and Estimating Problem,” Lawrence H. Putnam, IEEE Transactions on Software Engineering, VOL. SE‒4, NO. 4, JULY 1978.
• “A Comparison of Software Cost, Duration, and Quality for Waterfall vs. Iterative and Incremental Development: A Systematic Review,” Susan M. Mitchell and Carolyn B. Seaman, Third International Symposium on Empirical Software Engineering and Measurement, 2009.
• Software Sizing and Estimating: MK II FPA, Charles R. Symons, John Wiley and Sons, 1991.
• “A Review of Surveys on Software Effort Estimation,” Kjetil Molkken and Magne Jorgensen, Proceeding of International Symposium on Empirical Software Engineering, ISESE '03.
• “Accurate Estimates Without Local Data?” Tim Menzies, Steve Williams, Oussama Elrawas, Daniel Baker, Barry Boehm, Jairus Hihn, Karen Lum, and Ray Madachy, Software Process Improvement and Practice, (2009).
• “An Assessment and Comparison of Common Software Cost Estimation Modeling Techniques,” Lionel C. Briand, Khaled El Emam, Dagmar Surmann, Isabella Wieczorek, and Katrina D. Maxwell, Proceedings of the 21st International Conference on Software Engineering, Pg. 313‒322.
• “The Probable Lowest‒Cost Alternative According to Borda,” Neal D. Hulkower, Journal of Cost Analysis and Parametrics, 3:2, 29‒36.
• “An Efficient Approach for Agile Web-Based Project Estimation: AgileMOW,” Ratnesh Litoriya and Abhay Kothari, Journal of Software Engineering and Applications, 2013, 6, 297‒303.
• “Corad Agile Method for Agile Software Cost Estimation,” Govind Singh Rajput and Ratnesh Litoriya, http://dx.doi.org/10.4236/oalib.1100579
• “A Baseline Model for Software Effort Estimation,” Peter A. Whigham, Caitlin A. Owen, and Stephen G. MacDonell, ACM Transaction on Software Engineering Methodology, 24, 3, Article 20 (May 2015).
• “Core Estimating Concepts,” William Roetzheim, CrossTalk: The Journal of Defense Software Engineering, January/February 2013.
• “A Practical Approach to Size Estimation of Embedded Software Components,” Kenneth Lind and Rogardt Heldal, IEEE Transactions on Software Engineering, Vol. 38, No. 5, September/October 2012.
• “A Probabilistic Model for Predicting Software Development Effort,” Parag C. Pendharkar, Girish H. Subramanian, and James A. Rodger, IEEE Transactions on Software Engineering, Vol. 31, No. 7, July 2005.
• “A Pattern Language for Estimating,” Dmitry Nikelshpur, PLoP '11 Proceedings of the 18th Conference on Pattern Languages of Programs, Article No. 17.
• “Do Estimators Learn? On the Effect of a Positively Skewed Distribution of Effort Data on Software Portfolio Productivity,” Hennie Huijgens and Frank Vogelezang, 7th International Workshop on Emerging Trends in Software Metrics, 2016.
• “The Inaccurate Conception: Some thoughts on the accuracy of estimates,” Phillip G. Armour, Communications of the ACM, March 2008/Vol. 51, No. 3.
• “Understanding Software Project Estimates,” Katherine Baxter, Cross Talk: The Journal of Defense Software Engineering, March/April 2009.
• “Validation Methods for Calibrating Software Effort Models,” Tim Menzies, Dan Port, Zhihao Chen, and Jairus Hihn, May 15–21, 2005, http://menzies.us/pdf/04coconut.pdf
  “Requirements Instability in Cost Estimation,” Abiha Batool, Sabika Batool, and Mohammad Ayub Latif, https://www.academia.edu/4493828/Requirements_Instability_in_Cost_Estimation
• “Negative Results for Software Effort Estimation Tim Menzies, Ye Yang, George Mathew, Barry Boehm, Jairus Hihn, EMSE 2016.
• “Creating Requirements‒Based Estimates Before Requirements Are Complete,” Carol A. Dekkers, Cross Talk: The Journal of Defense Software Engineering, April 2005.
• “Rational Cost Estimation of Dedicated Software Systems,” Beata Czarnacka‒Chrobot, Journal of Software Engineering and Applications, 2012, 5, 262‒269.
• “Summarization of Software Cost Estimation,” Xiaotie Qina and Miao Fang, Advances in Control Engineering and Information Science, 2011.
• “Software Project Development Cost Estimation,” Barbara Kitchenham, The Journal of Systems and Software Volume 5, Issue 4, 267‒278, November 1985.
• “Cost Estimation in Agile Software Development Projects,” Michael Lang, Kieran Conboy, and Siobhán Keaveney, International Conference on Information Systems Development (ISD2011) Prato, Italy.
• “Project Estimating and Scheduling,” Terry Boult, University of Colorado, Colorado Springs, CS 330 Software Engineering.
• “Practical Guidelines for Expert‒Judgment‒Based Software Effort Estimation,” Magne Jørgensen, IEEE Software, May/June 2005.
• “Predicting Software Projects Cost Estimation Based on Mining Data,” Hassan Najadat, Izzat Alsmadi, and Yazan Shboul, ISRN Software Engineering, Volume 2012, Article ID 823437.
• “Models for Improving Software System Size Estimates during Development,” William W. Agresti, William M. Evanco, William M. Thomas, Journal of Software Engineering & Applications, 2010, 3: 1‒10.
• “Requirements Engineering for Agile Methods,” Alberto Sillitti and Giancarlo Succi, in Engineering and Managing Software Requirements, pp. 306‒326, Springer, 2005.
  “A Method for Improving Developers’ Software Size Estimates,” Lawrence H. Putnam, Douglas T. Putnam, and Donald M. Beckett, Cross Talk: The Journal of Defense Software Engineering, April 2005.
• “PERT, CPM, and Agile Project Management,” Robert C. Martin 5 October 2003, http://www.codejournal.com/public/cj/previews/PERTCPMAGILE.pdf
  “Reliability and accuracy of the estimation process Wideband Delphi vs. Wisdom of Crowds,” Marek Grzegorz Stochel, 35th IEEE Annual Computer Software and Applications Conference, 2011.
• “Predicting development effort from user stories,” P. Abrahamsson, I. Fronza, R. Moser, J. Vlasenko, and W. Pedrycz, International Symposium on Empirical Software Engineering and Measurement, 2011.
• “Effort prediction in iterative software development processes ‒ incremental versus global prediction models,” Pekka Abrahamsson, Raimund Moser, Witold Pedrycz, Alberto Sillitti, Giancarlo Succi, First International Symposium on Empirical Software Engineering and Measurement, 2007.
• “Planning Poker or How to avoid analysis paralysis while release planning,” James Grenning, https://wingman‒sw.com/papers/PlanningPoker‒v1.1.pdf
  “Agile Estimation using CAEA: A Comparative Study of Agile Projects,” Shilpa Bhalerao, Maya Ingle, 2009 International Conference on Computer Engineering and Applications IPCSIT, Vol.2 (2011).
• “A Bayesian approach to improve estimate at completion in earned value management,” Franco Caron, Fabrizio Ruggeri, and Alessandro Merli, Project Management Institute Journal, Vol. 44, No. 1, pp. 3‒16. 2013.
• “An Empirical Approach for Estimation of the Software Development Effort,” Amit Kumar Jakhar and Kumar Rajnish, International Journal of Multimedia and Ubiquitous Engineering, Vol. 10, No. 2 (2015), pp. 97‒110.
• “Forecasting of Software Development Work Effort: Evidence on Expert Judgment and Formal Models,” Magne Jørgensen, International Journal of Forecasting, 2007.
• “Agile Release Planning: Dealing with Uncertainty in Development Time and Business Value,” Kevin Logue and Kevin McDaid, 15th Annual IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, March 31 – April 4, 2008.
• “Why Are Estimates Always Wrong: Estimation Bias and Strategic Misestimation,” Daniel D. Galorath, AIAA SPACE 2015 Conference and Exposition Pasadena, California, 2015.
• “Estimation of Project Size Using User Stories,” Murad Ali, Zubair A Shaikh, Eaman Ali, International Conference on Recent Advances in Computer Systems (RACS 2015).
  “A Survey of Agile Software Estimation Methods,” Hala Hamad Osman and Mohamed Elhafiz Musa, International Journal of Computer Science and Telecommunications, Volume 7, Issue 3, March 2016.
• “Why Can’t People Estimate: Estimation Bias and Mitigation,” Dan Galorath, IEEE Software Technology Conference, October 12‒15, 2015
  Hilton Hotel, Long Beach California.
• “Cost-Effective Supervised Learning Models for Software Effort Estimation in Agile Environments,” Kayhan Moharreri, Alhad Vinayak Sapre, Jayashree Ramanathan, and Rajiv Ramnath, 40th Annual IEEE Computer Software and Applications Conference (COMPSAC), 2016.
• “A Review of Surveys on Software Effort Estimation,” Kjetil Moløkken and Magne Jørgensen, http://folk.uio.no/isu/INCO/Papers/Review_final8.pdf
• “Project Duration Forecasting Using Earned Value Method and Time Series,” Khandare Manish A., Vyas Gayatri S., International Journal of Engineering and Innovative Technology (IJEIT) Volume 1, Issue 4, April 2012.
• “Integrating Risk Assessment and Actual Performance for Probabilistic Project Cost Forecasting: A Second Moment Bayesian Model,” Byung‒Cheol Kim, IEEE Transactions on Engineering Management, Vol. 62, No. 2, May 2015.
• “A study of project selection and feature weighting for analogy based software cost estimation,” Y.F. Li, M. Xie, and T.N. Goh, The Journal of Systems and Software 82 (2009) 241–252.
• “Complementing Measurements and Real Options Concepts to Support InterSprint Decision‒Making in Agile Projects,” Zornitza Racheva, Maya Daneva, Luigi Buglione, 34th Euromicro Conference Software Engineering and Advanced Applications.
• “Software Cost Estimation and Sizing Methods: Issues and Guidelines,” Shari Lawrence Pfleeger, Felicia Wu, and Rosalind Lewis, RAND Corporation, Project Air Force, 2005.
  “Anchoring and Adjustment in Software Estimation,” Jorge Aranda and Steve Easterbrook, ESEC‒FSE’05, September 5–9, 2005, Lisbon, Portugal.
• “Cycle Time Analytics: Making Decision using lead Time and Cycle Time to avoid needing estimates for every story,” Troy Magennis, LKCE 2013 ‒ Modern Management Methods
  “Probabilistic Forecasting Decision Making: When Do You Want it?” Larry Maccherone, http://www.hanssamios.com/dokuwiki/_media/larry‒maccherone‒probabilistic‒decision‒making.pdf
• “Software Project Planning for Robustness and Completion Time in the Presence of Uncertainty using Multi-Objective Search Based Software Engineering,” Stefan Gueorguiev, Mark Harman, and Giuliano Antoniol, GECCO’09, July 8–12, 2009, Montréal Québec, Canada.
• “Empirical Validation of Neural Network Models for Agile Software Effort Estimation based on Story Points,” Aditi Panda, Shashank Mouli Satapathy, and Santanu Kumar Rath, 3rd International Conference on Recent Trends in Computing, 2015 (ICRTC‒2015).
• “When 90% Confidence Intervals are 50% Certain: On the Credibility of Credible Intervals,” Karl Halvor Teigen and Magne Jørgensen, Applied Cognitive Psychology, 19: 455–475 (2005)
• “Scaling Agile Estimation Methods with a Parametric Cost Model,” Carl Friedrich Kreß, Oliver Hummel, Mahmudul Huq, ICSEA 2014: The Ninth International Conference on Software Engineering Advances, 2014.
• “Expert Estimation and Historical Data: An Empirical Study,” Gabriela Robiolo, Silvana Santos, and Bibiana Rossi, ICSEA 2013: The Eighth International Conference on Software Engineering Advances.
• “Agile Monitoring Using the Line of Balance,” Eduardo Miranda, Institute for Software Research – Carnegie‒Mellon University and Pierre Bourque, École de Technologie supérieure – Université du Québec.
• “Managerial Decision Making Under Risk and Uncertainty,” Ari Riabacke, IAENG International Journal of Computer Science, 32:4, IJCS_32_4_12
  “From Nobel Prize to Project Management: Getting Risks Right,” Bent Flyvbjerg, Aalborg University, Denmark, Project Management Journal, Vol. 37, No. 3, August 2006, pp. 5‒15.
• “The Uncertainty Principle in Software Engineering,” Hadar Ziv and Debra Richardson, ICSE 97, 9th International Conference on Software Engineering, Boston MA, 17 ‒ 23 May 1997.
• “Analyzing Software Effort Estimation using k means Clustered Regression Approach,” Geeta Nagpal, Moin Uddin, and Arvinder Kaur, ACM SIGSOFT Software Engineering Notes, January 2013 Volume 38 Number 1.
• “Assuring Software Cost Estimates: Is it an Oxymoron?” Jairus Hihnl and Grant Tregre, Goddard Space Flight Center, 2013 46th Hawaii International Conference on System Sciences.
• “How Does NASA Estimate Software Cost? Summary Findings and Recommendations,” Jairus Hihn, Lisa VanderAar, Manuel Maldonado, Pedro Martinez, Grant Tregre, NASA Cost Symposium, OCE Software Working Group, August 27‒29, 2013.
• “Calibrating Software Cost Models Using Bayesian Analysis,” Sunita Chulani, Barry Boehm, Bert Steece, USC‒CSE 1998.
  “Software Project and Quality Modelling Using Bayesian Networks,” Norman Fenton, Peter Hearty, Martin Neil, and Łukasz Radliński, Elsevier, November 31, 2013.
• “Software Project Level Estimation Model Framework based on Bayesian Belief Networks,” Hao Wang, Fei Peng, and Chao Zhang, 2006 Sixth International Conference on Quality Software (QSIC'06), 27‒28 October 2006.
• “Using Bayesian Belief Networks to Model Software Project Management Antipatterns,” Dimitrios Settas, Stamatia Bibi, Panagiotis Sfetsos, Loannis Stamelos, and Vassilis Gerogiannis, Software Engineering Research, Management and Applications, ACIS International Conference on (2006), Seattle, Washington, Aug. 9, 2006, to Aug. 11, 2006.
• “A Survey of Bayesian Net Models for Software Development Effort Prediction,” Lukasz Radlinski, International Journal of Software Engineering and Computing, Vol. 2, No. 2, July‒December 2010.
• “Ten Unmyths of Project Estimation, Reconsidering some commonly accepted project management practices,” Phillip Armour, Communications of the ACM, November 2002, Vol. 45, No. 11.
• “Using Earned Value Data to Forecast the Duration and Cost of DoD Space Programs,” Capt. Shedrick Bridgeforth Air Force Cost Analysis Agency (AFCAA).
• “Enterprise Agility—What Is It and What Fuels It?” Rick Dove, in Utility Agility ‒ What Is It and What Fuels It? ‒ Part 2, 10/24/2009.
• “Scrum Metrics for Hyperproductive Teams: How They Fly like Fighter Aircraft,” Scott Downey and Jeff Sutherland, HICSS '13 Proceedings of the 2013 46th Hawaii International Conference on System Sciences, Pages 4870‒4878, IEEE Computer Society.
• “Engaging Software Estimation Education using LEGOs: A Case Study,” Linda Laird and Ye Yang, IEEE/ACM 38th IEEE International Conference on Software Engineering Companion, 2016.
• “Software Estimation – A Fuzzy Approach,” Nonika Bajaj, Alok Tyagi, and Rakesh Agarwal, ACM SIGSOFT Software Engineering Notes, Page 1 May 2006 Volume 31 Number 3.
• “Limits to Software Estimation,” J. P. Lewis, ACM SIGSOFT Software Engineering Notes Vol. 26 No. 4, July 2001, Page 54.
• “Recent Advances in Software Estimation Techniques,” Richard E. Fairley, ICSE '92: Proceedings of the 14th International Conference on Software Engineering, May 1992.
• “Software Estimation Using the SLIM Tool,” Nikki Panlilio‒Yap, Proceedings of the 1992 conference of the Centre for Advanced Studies on Collaborative research ‒ Volume 1, CASCON '92
• “An Approach for Software Cost Estimation,” Violeta Bozhikova and Mariana Stoeva, International Conference on Computer Systems and Technologies ‒ CompSysTech’10.
  “Estimating Software-IntensiveSoftware ‒Intensive Projects in the Absence of Historical Data,” Aldo Dagnino, ICSE '13: Proceedings of the 2013 International Conference on Software Engineering, May 2013.
• “Estimating software projects,” R. Agarwal, Manish Kumart, Yogesh, S. Mallick, RM. Bharadwaj, and D. Anantwar, Software Engineering Notes vol 26 no 4 July 2001 Page 60.
• “Software Intensive Systems Cost and Schedule Estimation,” Technical Report SERC‒2013‒TR‒032‒2, Principal Investigator: Dr. Barry Boehm, University of Southern California, AFCAA Sponsor: Dr. Wilson Rosa, Naval Postgraduate School: Dr. Ray Madachy, University of Southern California and Software Metrics: Dr. Bradford Clark, University of Southern California: Dr. JoAnn Lane, Dr. Thomas Tan, Mr. Ramin Moazeni, Stevens Institute of Technology, Systems Engineering Research Center, 31 June 2013.
• “Improved Size and Effort Estimation Models for Software Maintenance,” Vu Nguyen, University of Southern California, December 2010.
• “Probabilistic Estimation of Software Project Duration,” Andy M. Connor, New Zealand Journal of Applied Computing & Information Technology, 11(1), 11‒22, 2007.
• “Application of Sizing Estimation Techniques for Business Critical Software Project Management,” Parvez Mahmood Khan and M.M. Sufyan Beg, International Journal of Soft Computing and Software Engineering (JSCSE), Vol. 3, No. 6, 2013.
• “Double Whammy – How ICT Projects are Fooled by Randomness and Screwed by Political Intent,” Alexander Budzier and Bent Flyvbjerg, Saïd Business School Working Papers, August 2011.
• “Software Cost Estimation Framework for Service‒Oriented Architecture Systems using Divide‒and‒Conquer Approach,” Zheng Li and Jacky Keung, Proceedings of the 5th International Symposium on Service-Oriented System Engineering (SOSE 2010), pp. 47‒54, Nanjing, China, June 4‒5, 2010.
• “Investigating Effort Prediction of Software Projects on The ISBSG Dataset,” Sanaa Elyassami and Ali Idri, International Journal of Artificial Intelligence & Applications (IJAIA), Vol. 3, No. 2, March 2012.
• “Resource Estimation in Software Engineering,” Lionel C. Briand, Encyclopedia of Software Engineering, John Wiley and Sons, 2001.
• “CECS 543/643 Advanced Software Engineering,” Dar‒Biau Liu, California State University, Long Beach, Spring 2012.
• “Software Cost Estimation Review,” Alphonce Omondo Ongere, Helsinki Metropolia University of Applied Sciences, 30 May 2013.
• “Software estimation process: a comparison of the estimation practice between Norway and Spain,” Paul Salaberria, 1 December 2014, Universitetet I Bergenm.
• “Comparison of available Methods to Estimate Effort, Performance and Cost with the Proposed Method,” M. Pauline, Dr. P. Aruna, Dr. B. Shadaksharappa, International Journal of Engineering Inventions, Volume 2, Issue 9 (May 2013), pp. 55‒68.
• “Applying Fuzzy ID3 Decision Tree for Software Effort Estimation,” Ali Idri and Sanaa Elyassam, IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 4, No 1, July 2011.
• “Software Effort Estimation with Ridge Regression and Evolutionary Attribute Selection,” Efi Papatheocharous, Harris Papadopoulos and Andreas S. Andreou, 3rd Artificial Intelligence Techniques in Software Engineering Workshop, 7 October 2010.
• “A Comparison of Different Project Duration Forecasting Methods Using Earned Value Metrics,” Stephan Vandevoorde and Mario Vanhoucke, International Journal of Project Management, 24 (2006), 289‒302.
• “Quantifying IT Forecast Quality,” J. L. Eveleens, and C. Verhoef, Science of Computer Programming, Volume 74, Issues 11–12, November 2009, Pages 934‒988.
• “Predictive Modeling: Principles and Practices,” Rick Hefner, Dean Caccavo, Philip Paul, and Rasheed Baqai, NDIA Systems Engineering Conference, pp. 20‒23 October 2008.
  “Modeling, Simulation & Data Mining: Answering Tough Cost, Date& Staff Forecasts Questions,” Troy Magennis and Larry Maccherone, Agile 2012, 13‒17 August 2013, Dallas Texas.
• “Enhance Accuracy in Software Cost and Schedule Estimation by Using 'Uncertainty Analysis and Assessment’ In the System Modeling Process,” Kardile Vilas Vasantrao, International Journal of Research & Innovation in Computer Engineering, Vol 1, Issue 1, (6‒18), August 2011.
• “Estimating Perspectives, Richard D. Stutzke, 20th International COCOMO and Software Cost Modeling Forum, Los Angeles 25‒28 October 2005.
• “Introduction to Systems Cost Uncertainty Analysis: An Engineering Systems Perspective,” Paul R. Garvey, National Institute of Aerospace (NIA) Systems Analysis & Concepts Directorate NASA Langley Research Center, 2 May 2006.
• “Cost and Schedule Uncertainty Analysis of Growth in Support of JCL,” Darren Elliot and Charles Hunt, 2014 NASA Cost Symposium, LaRC, 13 August 2014.
• “What Does a Mature Cost Engineering Organization Look Like?” Dale Shermon, International Cost Estimating and Analysis Association (ICEAA), 2016 18th to 20th October 2016.
• “A Hybrid Model for Estimating Software Project Effort from Use Case Points,” Mohammad Azzeh and Ali Bou Nassif, Applied Soft Computing Journal, Elsevier
• “A Deep Learning Model for Estimating Story Points,” Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, and Tim Menzies, ArXiv, 2016.
  “A Hybrid Intelligent Model for Software Cost Estimation,” Wei Lin Du, Luiz Fernando Capretz, Ali Bou Nassif, Danny Ho, Journal of Computer Science, 9(11):1506‒1513, 2013.
• “An Empirical Analysis of Task Allocation in Scrum-based Agile Programming,” Jun Lin, Han Yu, Zhiqi Shen.
• “Agile Planning & Metrics That Matter,” Sally Elatta, Agile Transformation for Government.
• “#NoEstimates, But #YesMeasurements: Why Shouldn’t agile teams waste their time and effort in estimating,” Pekka Forselius, ISBSG IT Confidence Conference, 2016.
• “Agile Benchmarks: What Can You Concluded?” Don Reifer, ISBSG IT Confidence Conference, 2016.
• “Improve Estimation Maturity using Functional Size Measurement and Industry Data,” Drs. Harold van Heeringen, ISBSG IT Confidence Conference, 2016.
• “Why Can’t People Estimate: Estimation Bias and Mitigation,” Dan Galorath, ISBSG IT Confidence Conference, 2015.
• “Why Can’t People Estimate: Estimation Bias and Strategic Mis‒Estimation,” Daniel D. Galorath, ISBSG IT Confidence Conference, 2014.
• “Estimation Bias and Mitigation with Agile Estimation Guidance 2017 Edition,” Dan Galorath, Galorath Corporation.
• “Estimation ‒ Next Level,” Ton Dekkers, ISBSG IT Confidence Conference, 2013.
• “Are We Really That Bad? A Look at Software Estimation Accuracy,” Peter R. Hill, ISBSG IT Confidence Conference, 2013.
• “The Evaluation of Well‒known Effort Estimation Models based on Predictive Accuracy Indicators,” Khalid Khan, School of Computing Blekinge Institute of Technology, Sweden.
• “A Knowledge and Analytics-Based Framework and Model for Forecasting Program Schedule Performance, Kevin T. Knudsen and Mark Blackburn, Complex Adaptive Systems, Los Angeles, CA, 2016.
• “Managing Project Uncertainty: From Variation to Chaos,” Arnound de Meyer, Christoph Loch, and Michael Pich, IEEE Engineering Management Review 43(3):91 ‒ 91 · December 2002.
• “Project Uncertainty and Management Style,” C. H. Loch, M. T. Pich, and A. De Meyer, 2000/31/TM/CIMSO 10.
• “Effects of Feature Complexity of Software Estimates ‒ An Exploratory Study,” Ana Magazinius and Richard Berntsson Svensson, 40th Euromicro Conference on Software Engineering and Advanced Applications, 2014.
• “Project Management Under Risk: Using the Real Options Approach to Evaluate Flexibility in R & D," Arnd Huchzermeier and Christoph Loch, INSEAD.
• “Evaluation and Improvements for Agile Planning Tools,” Sultan Alyahya, Manal Alqahtani, and Mohamed Maddeh, SERA 2016, June 8‒10, 2016, Baltimore, USA
  “Fermi questions to estimate software development projects,” Eduardo Miranda, Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement, 2014.
• “A Review of Software Cost Estimation in Agile Software Development Using Soft Computing Techniques,” Saurabh Bilgaiyan, Samaresh Mishra, and Madhabananda Das, International Conference on Computational Intelligence and Networks, 2016.
• “Quality of Estimations How to Assess Reliability of Cost Predictions,” Dr. Thomas Fehlmann and Eberhard Kranich, Joint Conference of the 22nd International Workshop on Software Measurement and the 2012 Seventh International Conference on Software Process and Product Measurement, 2012.
• “Impact of Software Resource Estimation Research on Practice: A Preliminary Report on Achievements, Synergies, and Challenges,” Barry Boehm and Ricardo Valerdi, ICSE’11, May 21–28, 2011, Waikiki, Honolulu, HI, USA.
• “Predicting Accuracy of Early Cost Estimates Based on Estimate Quality,” Garold D. Oberlender, and Steven M. Trost, Journal of Construction Engineering and Management, May/June 2001.
• “Estimating Software-Intensive Projects in the Absence of Historical Data,” Aldo Dagnino Industrial Software Systems, 35th International Conference on Software Engineering (ICSE), 2013.
• “Software Estimation Based on Use Case Size,” Gustavo Bestetti Ibarra and Patrícia Vilain, Brazilian Symposium on Software Engineering, 2010.
• “Using Agile Story Points as an Estimation Technique in CMMI Organizations,” Alaa El‒deen Hamouda, 2014 Agile Conference, Kissimmee, FL, July 28 – August 1, 2014.
• “An Empirical Investigation on Effort Estimation in Agile Global Software Development,” Ricardo Britto, Emilia Mendes, and Jurgen Borstler, IEEE 10th International Conference on Global Software Engineering, 2015.
• “Using Bayesian Networks to Obtain the Task’s Parameters for Schedule Planning in Scrum,” Alan Ramirez‒Noriega, Reyes Juarez‒Ramirez, Raul Navarro, Janeth Lopez‒Martinez, 4th International Conference on Software Engineering Research and Innovation, 2016.
• “Using Trac for Empirical Data Collection and Analysis in Developing Small and Medium-Sized Enterprise Systems,” Naoki Ohsugi, Kyohei Fushida, Nobuto Inoguchi, Hiroyuki Arai, Hiroyuki Yamanaka, Takashi Niwa, Motohisa Tomura, and Tuyoshi Kitani, ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 2015.
• “Agile Development Methods for Space Operations,” Jay Trimble and Chris Webster, American Institute of Aeronautics and Astronautics, 2012.
  “Should NASA Embrace Agile Processes?” Jefferey Smith and Tim Menzies, PM Challenge 2016.
• “Estimating Software Development Schedules and Costs,” R. E. Merwin, Department of Defense, DAC '72 Proceedings of the 9th Design Automation Workshop, Pages 1‒4, June 26‒28, 1972.
• “A Pattern Language for Agile Software Estimation,” Mirla R. R. Braga, Carla I. M. Bezerra, José Maria S. Monteiro, Rossana M. C. Andrade, IX Latin America Conference on Pattern Languages of Programming (SugarLoafPLoP), September 2012.
• “The Importance of the Use of an Estimation Process,” Carlos Eduardo Lima Peixoto, Jorge Luis Nicolas Audy, Rafael Prikladnicki, SDG’10, May 8, 2010, Cape Town, South Africa.
• “Software Cost Estimation Metrics Manual: Analysis based on data from the DoD Software Resource Data Report,” Cheryl Jones, US Army Armament Research Development and Engineering Center (ARDEC), et al.
• “The Art of Software Estimation Pattern Language,” Dmitry Nikelshpur, 18th Conference on Pattern Languages of Programs (PLoP), Portland, Oregon, USA (October 2011).
• “Estimate of the appropriate iteration length in agile development by conducting simulation,” Ryushi Shiohama, Hironori Washizaki, Shin Kuboaki, Kazunori Sakamoto, Yoshiaki Fukazawa, IEEE Agile, 2012.
• “Estimating Agile Software Project Effort: An Empirical Study,” Lan Cao, Americas Conference on Information Systems (AMCIS), 2008.
• “Experiences tracking agile projects: an empirical study,” Danilo Sato, Dairton Bassi, Mariana Bravo, Alfredo Goldman, and Fabio Kon, Journal of the Brazilian Computer Society, Vol. 12 No. 3 Campinas December 2006.
• “A Primer of Agile Software Development for Cost Analyst,” ICEAA National Conference, 2016.
• “Cost Estimating at NAVAIR,” David Burgess, AGA‒DC Conference, 4 May 2010.
• “Pseudo‐Mathematics: A Critical Reconsideration of Parametric Cost Estimating in Defense Acquisition,” Paul Killingsworth, Defense Acquisition University, 2014.
  “Software Cost Estimation Metrics Manual for Defense Systems,” Brad Clark and Ray Madachy, 29th International Forum on COCOMO and Systems/Software Cost Modeling, 22 October 2014.
• “Software Cost Estimation,” Hareton Leung and Zhang Fan, in Handbook of Software Engineering and Knowledge Engineering, World Scientific.
• “Framework of Software Cost Estimation by Using Object Orientated Design Approach.” Farooq Azam, Salman Qadri, Shabir Ahmad, Kamran Khan, Abu Buker Siddique, and Bilal Ehsan, International Journal of Scientific & Technology Research, Volume 3, Issue 8, August 2014.
• “17 Theses on Software Estimation (Expanded),” Steve McConnell, Construx, 18 August 2015.
• “A Simulation Study of Practical Methods for Technical Debt Management in Agile Software Development,” Isaac Griffith, Hanane Taffahi, Clemente Izurieta, and David Claudio, Proceedings of the 2014 Winter Simulation Conference, A. Tolk, S. D. Diallo, I. O. Ryzhov, L. Yilmaz, S. Buckley, and J. A. Miller, eds., IEEE 2014.
• “The Art of Software Estimation Pattern Language,” Dmitry Nikelshpur, PLoP '11 Proceedings of the 18th Conference on Pattern Languages of Programs, Article No. 17.
• “Understanding and improving effort estimation in Agile software development: an industrial case study,” Binish Tanveer, Liliana Guzmán, and Ulf Martin Engel, IEEE/ACM International Conference on Software and System Processes, 2016.
• “A Model for Estimating Agile Project Process and Schedule Acceleration,” Dan Ingold, Barry Boehm, Supannika Koolmanojwong, Proceedings of the 2013 International Conference on Software and System Process, ICSSP 2013, May 2013.
• “Estimating Story Points from Issue Reports,” Simone Porru, Alessandro Murgia, Serge Demeyer, PROMISE 2016: Proceedings of the 12th International Conference on Predictive Models and Data Analytics in Software Engineering, September 2016.
• “A Case Study for Prioritizing Features in Environments with Multiple Stakeholders,” Eduardo Cristiano Negrão and Eduardo Martins Guerra, OOPSLA '11, October 2011.
• “Timeboxing planning: Buffered Moscow rules,” Eduardo Miranda, ACM SIGSOFT Software Engineering Notes, November 2011 Volume 36 Number 6.
• “Effort Estimation in Agile Software Development: A Survey on the State of the Practice,” Muhammad Usman, Emilia Mendes, and Jürgen Börstler, EASE '15: Proceedings of the 19th International Conference on Evaluation and Assessment in Software Engineering, April 2015.
• “Realistic Assessment of Software Effort Estimation Models,” Boyce Sigweni, Martin Shepperd, and Tommaso Turchi, EASE '16: Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering, May 2016.
• “A Comprehensive Survey of Software Development Cost Estimation Studies,” Shatha Al‒Qudah, Kenza Meridji, and Khalid T. Al‒Sarayreh, IPAC '15: Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication, November 2015.
• “Improving estimation accuracy by using Case-Based Reasoning and a combined estimation approach,” Srinivasa Gopal and Meenakshi D’Souza, Proceedings of ISEC '12, Feb. 22‒25, 2012 Kanpur, UP, India.
• “Multi-objective Software Effort Estimation,” Federica Sarro, Alessio Petrozziello, and Mark Harman, 2016 IEEE/ACM 38th IEEE International Conference on Software Engineering.
• “Estimating the Size, Cost, and Types of Technical Debt,” Bill Curtis, Jay Sappidi, and Alexandra Szynkarski, IEEE MTD '12: Proceedings of the Third International Workshop on Managing Technical Debt, June 2012.
• “Computational Intelligence in Software Cost Estimation: An Emerging Paradigm,” Tirimula Rao Benala, Satchidananda Dehuri, and Rajib Mall, ACM SIGSOFT Software Engineering Notes: Volume 37 Issue 3, May 2012.
• “Calibrating Use Case Points,” Ali Bou Nassif, Luiz Fernando Capretz, Danny Ho, ICSE Companion 2014: Companion Proceedings of the 36th International Conference on Software Engineering, May 2014.
• “Alternative methods using similarities in software effort estimation,” Makrina Viola Kosti, Nikolaos Mittas, and Lefteris Angelis, PROMISE '12: Proceedings of the 8th International Conference on Predictive Models in Software Engineering, September 2012.
• “Understanding and improving effort estimation in agile software development‒ an industrial case study,” Binish Tanveer, Liliana Guzmán, and Ulf Martin Engel, 2016 IEEE/ACM International Conference on Software and System Processes.
• “NFR’s Early Estimation Thought Software Metrics,” Andrws Vieira, Pedro Faustini, Luigi Caro, and Erika Cota, DATE '15: Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, March 2015.
• “A review and comparison of methods for determining the best analogies in analogy-based software effort estimation,” Bodin Chinthanet, Passakorn Phannachitta, Yasutaka Kamei, Pattara Leelaprute, Arnon Rungsa, Naoyasu Ubayashiu, and Kenichi Matsumoto, SAC '16: Proceedings of the 31st Annual ACM Symposium on Applied Computing, April 2016.
• “A Grammatical Evolution Approach for Software Effort Estimation,” Rodrigo C. Barros, Márcio P. Basgalupp, Ricardo Cerr, Tiago S. da Silva, and André C. P. L. F. de Carvalho, GECCO '13: Proceedings of the 15th annual conference on Genetic and evolutionary computation, June 2013.
• “Software Development Cost Estimation Using Similarity Difference between Software Attributes,” Divya Kashyap and A.K.Misra, ISDOC '13: Proceedings of the 2013 International Conference on Information Systems and Design of Communication, July 2013.
• “Functional Size Measures and Effort Estimation in Agile development: A Replication Study,” Valentina Lenarduzzi, Ilaria Lunesu, Martina Matta, and Davide Taibi, XP 2015.
• “Cost Estimating Issues for MAIS Programs Using an Agile Approach for SW Development,” Richard Mabe, DOD Agile Day, 22 September 2015.
• “Quantifying Uncertainty in Early Lifecycle Cost Estimation for DOD MDAPs,” Bob Ferguson, Dennis Goldenson, Jim McCurley, Bob Stoddard, Dave Zubrow, Julie Cohen, Tim Morrow, Eduardo Miranda, Ricardo Valerdi, 16th Annual PSM Users’ Group Conference: Using Measurement to make Hard Choices in a Constrained Environment, Portsmouth, Virginia, 30 July ‒ 3 August 2012.
• “Measuring and Monitoring Agile Development Status,” Martin P. Boerman, Zeeger Lubsen, Damian A. Tamburri, and Joost Visser, 6th International Workshop on Emerging Trends in Software Metrics, 2015.
• “A Review of Software Cost Estimation in Agile Software Development Using Soft Computing Techniques,” Saurabh Bilgaiyan, Samaresh Mishra, Madhabananda Das, 2016 International Conference on Computational Intelligence and Networks.
• “A Probabilistic Software Risk Assessment and Estimation Model for Software Projects,” Chandan Kumar and Dilip Kumar Yadav, Eleventh International Multi-Conference on Information Processing‒2015 (IMCIP‒2015).
• “Six Rules of Effective Forecasting,” Paul Saffo, Harvard Business Review, July‒August 2007.
• “The Inaccurate Conception Some thoughts on the accuracy of estimates,” Phillip G. Armour, Communications of the ACM, March 2008, Vol. 51, No. 3.
• “Software Economics: A Roadmap,” Barry Boehm and Kevin Sullivan, Future of Software Engineering, Limerick Ireland, 2000.
• “Delusion and Deception in Large Infrastructure Projects: Two Models for Explaining and Preventing Executive Disaster,” Bent Flyvbjerg, Massimo Garbuio, and Dan Lovallo, California Management Review Vol. 51, No. 2 Winter 2009.
• “Eliminating Bias through Reference Class Forecasting and Good Governance,” Bent Flyvbjerg, Concept Report No 17 Chapter 6, NTNU, 2007.
• “Impacts of Bad ESP (Early Size Predictions) on Software Effort Estimation,” George Mathewa, Tim Menziesa, Jairus Hihnb, IST journal, 2016.
• “The Impact of Lessons‒Learned Sessions on Effort Estimation and Uncertainty Assessments,” Magne Jørgensen and Tanja M. Gruschke, IEEE Transactions on Software Engineering, Vol. 35, No. 3, May/June 2009.
• “Negative Results for Software Effort Estimation,” Tim Menzies, Ye Yang, George Mathew, Barry Boehm, and Jairus Hihn, Empirical Software Engineering, 2016.
• “Effect of Data Preprocessing on Software Effort Estimation,” Sumeet Kaur Sehra, Jasneet Kaur, and Sukhjit Singh Sehra, International Journal of Computer Applications (0975 – 8887) Volume 69– No. 25, May 2013.
• “A Preliminary Checklist for Software Cost Management,” Magne Jørgensen and Kjetil Moløkken, Proceedings of the Third International Conference on Quality Software (QSIC’03).
• “Cost Estimation of Software-Intensive Projects: A Survey of Current Practices,” Jairus Hihn and Hamid Habib‒agahi, ICSE '91 Proceedings of the 13th International Conference on Software Engineering, Pages 276‒287.
• “The Major Uncertainty Factors Affecting in Software Cost Estimation,” G. Rajkumar and Dr. K. Alagarsamy, International Journal of Computer Technology & Applications, Vol 4 (3), 419‒424.
• “An Empirical Study of Using Planning Poker for User Story Estimation,” Nils C. Haugen, IEEE Agile Conference, 2006.
• “Quantitative Estimation of Cost Drivers for Intermediate COCOMO towards Traditional and Cloud-Based Software Development,” Amit Agrawal, Vaibhav Jain, and Mohsin Sheikh, ACM COMPUTE '16, October 21‒23, 2016, Gandhinagar, India.
• “Predicting Effort for Requirement Changes during Software Development,” Sufyan Basri, Nazri Kama, Faizura Haneem, Saiful Adli Ismail, SoICT '16, December 08‒09, 2016, Ho Chi Minh City, Viet Nam.
• “Analytic Method for Probabilistic Cost and Schedule Risk Analysis,” prepared for National Aeronautics and Space Administration (NASA) Office of Program Analysis and Evaluation (PA&E) Cost Analysis Division (CAD), 5 April 2013.
• “Simple Method Proposal for Cost Estimation from Work Breakdown Structure,” Sérgio Sequeira, Eurico Lopes, Conference on ENTERprise Information Systems / International Conference on Project Management / Conference on Health and Social Care Information Systems and Technologies, CENTERIS / ProjMAN / HCist, October 7‒9, 2015.
• “Large Limits to Software Estimation,” J. P. Lewis, ACM Software Engineering Notes Vol 26, No. 4 July 2001, p. 54‒59.
• “Mathematical Limits to Software Estimation: Supplementary Material,” J.P. Lewis, Stanford University.
• “The Psychology of Cost Estimating,” Andy Price, Marshall Space Flight Center.
• “The Joint Confidence Level Paradox – A History of Denial,” Glenn Butts and Kent Linton, NASA Cost Symposium, 2009.
• “Seventeen Thesis of Software Estimation,” Steve McConnell, August 2015, http://www.construx.com/10x_Software_Development/17_Theses_on_Software_Estimation/
• “Critical‒Path Planning and Scheduling,” James E. Kelley, Jr. and Morgan R. Walker, Proceedings of The Eastern Joint Computer Conference, 1959.
• “Model-based Dynamic Cost Estimation and Tracking Method for Agile Software Development,” Sungjoo Kang, Okjoo Choi, and Jongmoon Baik, 9th IEEE/ACIS International Conference on Computer and Information Science.
• “Scalable Agile Estimation and Normalization of Story Points: Calibrated Normalization Method for Bottom-Up Estimation (Part 4 of 5),” VersionOne Blog, 18 November 2013.
• “Scalable Agile Estimation and Normalization of Story Points: Calibrated Normalization Method for Top-Down Estimation (Part 5 of 5),” VersionOne Blog, 2 December 2013.
• “Efficient Utilization of Non‒Numerical Information in Quantitative Analysis: General Theory and the Case of Simple Order,” Robert Abelson and John Tukey, The Annals of Mathematical Statistics, 1963.
• “The relationship between ordinal measures and their underlying values: Why all the disagreement?” Robert O’Brien, Quality and Quantity, Volume 19, Issues 3, pp 265‒277 June 1985.
• “Categorical Data Analysis and Descriptive Value,” Marshall Pomer, Quality and Quantity, Volume 19, Issues 3, pp 227‒243 June 1985.
• “Visualized Analysis of Mixed Numeric and Categorical Data via Extended Self‒Organizing Map,” Chung‒Chian Hsu, IEEE Transactions on Neural Networks and Learning Systems, Vol. 23, No. 1, January 2012.
• “Estimating Cost Uncertainty using Monte Carlo techniques,” Paul Dienemann, RAND Corporation, RM‒4854‒PR, Jan 1966.
• “The Challenge of Introducing a New Technology into a Small Software Organization,” Jacky Keung, Ross Jeffery and Barbara Kitchenham, Proceedings of the 2004 Australian Software Engineering Conference (ASWEC’04).
• “Effort Estimation in Agile Software Development: A Systematic Literature Review,” Muhammad Usman, Emilia Mendes, Francila Weidt, and Ricardo Britto, International Conference on Predictive Models in Software Engineering ‒ PROMISE 2014, At Turin, Italy.
• “Managing Uncertainty of Time in Agile Environment,” Rashmi Popli, Priyanka Malhotra and Naresh Chauhan, Fourth International Conference on Advances in Computing and Information Technology.
• “The 10 Step Software Estimation Process for Successful Software Planning, Measurement, and Control,” Daniel D. Galorath, 2006.
• “Incorporating Vital Factors in Agile Estimation through Algorithmic Method,” S. Bhalerao and Maya Ingle, International Journal of Computer Science and Applications, 2009 Technomathematics Research Foundation, Vol. 6, No. 1, pp. 85 – 97.
• “GAO Cost Estimating and Assessment Guide: Best Practices for Developing and Managing Capital Program Costs,” GAO‒09‒3SP, March 2009.
• “Building a Software Cost Estimation Model Based on Categorical Data,” L. Angelis, I. Stamelos, M. Morisio, Proceedings Seventh International Software Metrics Symposium, 2001. METRICS, 2001.
• “Modeling Dynamics in Agile Software Development,” Lan Cao, Balasubramaniam Ramesh, And Tarek Abdel‒Hamid, ACM Transactions on Management Information Systems (TMIS), December 2010.
• “Bayesian Analysis of Empirical Software Engineering Cost Models,” Sunita Chulani, Barry Boehm, and Bert Steece, CSSE Technical Report, 1999.
• “An Empirical Validation of Software Cost Estimation Models,” Chris Kemerer, Communications of the ACM, Volume 30, Number 5, May 1987.
• “How Much Does a Vacation Cost? Or What Is a Software Cost Estimate?,” M. Jørgensen, ACM Software Engineering Notes, Volume 28, Number 6.
• “Combining Quantitative Software Development Cost Estimation Precision Data with Qualitative Data from Project Experience Reports at Ericsson Design Center in Norway,” M. Jørgensen, L. Moen, and N Løvstad, Proceedings of the Conference on Empirical Assessment in Software Engineering, 2002.
• “Eliminating Over‒Confidence in Software Development Effort Estimates,” Magne Jørgensen and Kjetil Moløkken.
• “Impact of Schedule Estimation on Software Project Behavior,” Tarek K. Abdel‒Hamid and Stuart E. Madnick, IEEE Software, July 1986.
• “Impact of Schedule Estimation on Software Project Behavior,” Tarek K. Abdel‒Hamid and Stuart E. Madnick, Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology, 1985.
• “Unit effects in software project effort estimation: Work‒hours gives lower effort estimates than workdays,” Magne Jørgensen, Journal of Systems and Software, Volume 117, July 2016, Pages 274–281.
• “Intuitive Prediction: Biases and Corrective Procedures,” Daniel Kahneman and Amos Tversky, Defense Advanced Research Projects Agency, Cybernetics Technology Office, June 1977.
• “Making‒Sense of the Impact and Importance of Outliers in Project Management through the Use of Power Laws,” Alexander Budziera and Bent Flyvbjerg, IRNOP (International Research Network on Organizing by Projects) 11 Conference, June 16‒18, 2013, Oslo.
• “Judgment Under Uncertainty: Heuristics and Biases,” Amos Tversky and Daniel Kahneman, Science, New Series, Vol. 185, No. 4157. (Sep. 27, 1974), pp. 1124‒1131.
• “Hindsight and Foresight: The Effect of Outcome Knowledge on Judgment Under Uncertainty,” B. Fischhoff, Journal of Experimental Psychology: Human Perception and Performance, 1975, 1: 288‒299.
• “Software Project Cost Estimating,” Russell Frith, University of Alaska at Anchorage, April 12, 2011.
• “Agile,” Jay Trimble, NASA Ames Research Center at Philips Agile 4 Ever, October 2013.
• “An Innovative Approach to Quantifying Uncertainty in Early Lifecycle Cost Estimation,” Robert Ferguson, Dennis Goldenson, James McCurley, Robert Stoddard, and David Zubrow, Journal of Software Technology, Data & Analysis Center for Software, 15‒1, February 2012.
• “Bayesian Statistics in Software Engineering: Practical Guide and Case Studies,” Carlo A. Furia, ArXiv, 28 August 2016.
• “Software size measures and their use in software project estimation,” ICEAA 2015.

Books on Estimating Software Intensive System of Systems

---

• Applied Microeconomics - Problem in Estimation, Forecasting, and Decision-Making, Richard Lee Schamlensee, 1970
• The Economics of Iterative Software Development: Steering Towards Better Business Results, Walker Royce, Addison-Wesley, 2009
• Cost and Value Management in Projects, Ray R. Venkataraman and Jeffrey K. Pinto, John Wiley & Sons, 2008
• Project Decisions – The Art and Science, Lev Virine, Berrett‒Koehler Publisher, October 1, 2007.
• The Silver Lining of Project Uncertainties, Thomas G. Lechler Ting Gai, and Barbara Edington, Project Management Institute, 2013.
• Judgment in Managerial Decision Making, 8^th Edition, Max H. Bazerman, John Wiley & Sons, 2012.
• Value-Focused Thinking: A Path to Creative Decision Making, Ralph Keeney, Harvard University Press, 1992.
• How to Understand, Communicate, and Control Uncertainty through Graphical Display, Howard Wainer, Princeton University Press, 2009.
• Decision Analysis for the Professional, Peter McNamee, and John Celona, SmartOrg, smartorg.com 2007.
• COSMIC Function Points: Theory and Advanced Practices, Reiner Dumke and Alain Abran, Auerbach Publications, 2011.
• Mathematics for Finance: An Introduction to Financial Engineering, Marek Capinski and Tomasz Zastowniak, Springer, 2003.
• Software Project Effort Estimation: Foundations and Best Practice Guidelines for Success, Adam Trendowicz and Ross Jeffery, Springer, 2014.
• The Psychology of Planning in Organizations: Research and Applications (Organization and Management Series) 1^st Edition, Michael D. Mumford (Editor), Michael Frese (Editor), Routledge, 2015.
• Progressive Function Point Analysis: Advanced Estimation Techniques for IT Projects, Ruben Gerad Mathew,
• Software Project Effort Estimation: Foundation and Best Practice Guidelines for Success, Adam Trendowicz and Ross Jeffery, Springer, 2014.
• Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective, Second Edition, Paul Garvey and Stephen Book, Chapman and Hall, January 2016.
• Practice Standard for Project Estimating, Project Management Institute, 2011
• Practical Software Project Estimation 3^rd Edition, Peter Hill, McGraw‒Hill Education, 2010
• Actionable Agile Metrics for Predictability: An Introduction, Daniel Vacanti, Daniel S. Vacanti, Inc., March 4, 2015.
• Uncertainty, A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis, M. Granger Morgan, Max Henrion, Mitchell Small, Cambridge University Press, 1980.
• Agile Estimating and Planning, Mike Cohn, Prentice-Hall, 2006.
• Software Cost Estimation Metrics Manual for Defense Systems, Bradford Clark and Richard Madachy (editors), Software Metrics Inc., Haymarket, VA, USA, 2015.
• Practical Software Project Estimation: A Toolkit for Estimating Software Development Effort & Duration, Peter Hill, International Software Benchmarking Standards Group.
• Software Estimation Best Practices, Tools & Techniques: A Complete Guide for Software Project Estimators, Murali K. Chemuturi, J. Ross Publishing, August 2009.
• Software Project Cost and Schedule Estimating: Best Practices, William H. Roetzheim, Prentice-Hall.
• Estimating the Scope of Software Projects Using Statistics, Louis Newstrom, Louis Newstrom Publisher, December 4, 2015.
• Estimating Software Intensive Systems: Project, Products, and Processes, Richard Stutzke, Addison Wesley.
• Estimating Software Costs: Bringing Realism to Estimating, 2^nd Edition, Capers Jones, McGraw Hill
• Software Estimation: Demystifying the Black Art, Steve McConnell, Microsoft Press.
• Software Metrics: A Rigorous and Practical Approach, 3^rd Edition, Norman Fenton and Janes Bieman, CRC Press.
• Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective, Paul R. Garvey, CRC Press.
• Forecasting and Simulating Software Development Projects: Effective Modeling of Kanban & Scrum Projects using Monte‒Carlo Simulation, Troy Magennis, CreateSpace Independent Publishing Platform, October 25, 2011.
• How to Lie with Statistics, Darrell Huff, W. W. Norton, 1954.
• Agile Product Management: Agile Estimating & Planning Your Sprint with Scrum and Release Planning 21 Steps, Paul Vll, Create Space, 2016.
• Software Project Effort Estimation Foundations and Best Practice Guidelines for Success, Adam Trendowicz and Ross Jeffery, Springer 2014.
• Software Project Estimation: The Fundamentals for Providing High-Quality Information to Decision Makers, Alain Abran, Wiley‒IEEE, 6 April 2016.
• Software Measurement and Estimation: A Practical Approach, Linda M. Laird and M. Carol Brennan, Wiley‒IEEE Computer Society Press, June 2006.
• All About Agile: Agile Management Made Easy!, Kelly Waters, CreateSpace Independent Publishing Platform, March 19, 2012.
• Introduction to Uncertainty Quantification, T. J. Sullivan, Springer, 2016.
• Generalized Estimating Equations, 2^nd Edition, James W. Hardin, Chapman and Hall, 2012.
• Hybrid Approach for Estimating Software Project Development Effort: Designing Software Cost Estimation Model, Ketema Kifle, LAP LAMBERT Academic Publishing, June 2, 2016.
• A Hedonic Approach to Estimating Software Cost Using Ordinary Least Squares Regression and Nominal Attribute Variables, Marc Ellis, BiblioScholar, 2012.
• Uncertainty Quantification: Theory, Implementation, and Applications, Ralph Smith, SIAM‒Society for Industrial and Applied Mathematics, December 2, 2013.
• How Many Licks: Or How to Estimate Damn Near Anything, Aaron Santos, Running Press, 2009.
• Software Engineering Metrics and Models, Conte, Dunsmore, and Shen, Benjamin Cummings, 1986
• Actionable Agile Metrics for Predictability: An Introduction, Daniel Vacanti, 2015.
• Project Management Analytics: A Data-Driven Approach to Making Rational and Effective Project Decisions, Harjit Singh, Pearson FT Press; 1^st Edition, November 12, 2015.
• Software Metrics and Software Metrology, Alan Abran, Wiley‒IEEE Computer Society, 2010.
• The IT Measurement Compendium: Estimating and Benchmarking Success with Functional Size Measurement, Manfred Bundschuh and Carol Dekkers, Springer, 2008.
• IT Project Estimation: A Practical Guide to Costing Software, Paul Coombs, Cambridge University Press, 2003.
• Applied Software Measurement: Global Analysis of Productivity and Quality, 3^rd edition, Capers Jones, McGraw‒Hill, 2008.
• The Incremental Commitment Spiral Model: Principles and Practices for Successful Systems and Software, Barry Boehm, Jo Ann Lane, Supannika Kollmanojwong, and Richard Turner, Addison Wesley, 2014.
• The Economics of Software Quality, Capers Jones and Oliver Bonsignour, Addison Wesley, 2012
• The Road Map to Software Engineering: A Standards-Based Guide, James Moore, 2006.
• Software Measurement and Estimation: A Practical Approach, Linda Laird and Carol Brennam, John Wiley & Sons, 2006.
• Software Sizing, Estimation, and Risk Management: When Performance is Measured, Performance Improves 1^st Edition, Dan Galorath, Auerbach Publications, March 15, 2006.
• Practical Software Project Estimation ‒ A Toolkit for Estimating Software Development Effort and Duration, Peter Hill, McGraw Hill, 2010.

Thesis on Estimating Software Intensive System of Systems

---

• “Agile Project Estimation,” Audrius Grinys, Faculty of Industrial Engineering, Mechanical Engineering and Computer Science University of Iceland, 2012.
• “Using NEMA Function Point Analysis in Agile Context,” Roel van Rijswijck, Radboud Universiteit Nijmegen, August 2013.
• “Towards the Construction of Large Bayesian Networks for Web Cost Estimation,” Simon Baker, University of Auckland, 2009.
• “Factors Affecting Efficiency of Agile Planning,” Deepika Badampudi, School of Computing Blekinge Institute of Technology SE-371 79 Karlskrona Sweden, October 2012.
• “An Investigation Into Software Estimation Methods,” Khaled H. M. Hamdan, School of Computing & Technology, University of Sunderland, UK, February 2009.
• “SW Cost Estimation: Measuring Model Performance of Arbitrary Function Approximators,” Erik Stensrud and Ingunn Myrtveit, Norwegian School of Management, May 2002.
• “The complexity of projects: an adaptive model to incorporate complexity dimensions into the cost estimation process,” Leon Herzon, University of Huddersfield, January 2017.
• “Comparative Analysis Between FPA and COCOMO Techniques For Software Cost Estimation,” Abu Baker Ali Moftah, Universiti Tun Hussein Onn, Malaysia, July 2014.
• “An Investigation Into Software Estimation Methods,” Khaled Hamdan,” University of Sunderland, February 2009.
• “Prediction of project performance: development of prediction model for predicting future performance of an OG&C project in EPC environment,” Naresh Kaushik, Thesis Report, Delft University
• “Improving Expert Estimation of Software Development Effort in Agile Contexts,” Muhammad Usman, Blekinge Institute of Technology, Department of Software Engineering, 2018.
• “Bayesian Analysis of Software Cost and Quality Models,” Sunita Devnani‒Chulani, University of Southern California, May 1999.
• “Feasibility of Automated Estimation of Software Development Effort in Agile Environments,” Alhad Vinayak Sapre, The Ohio State University, 2012.
• “Improving Planning: Quantitative Evaluation of the Premortem Technique in Field and Laboratory Settings,” Madeline Peabody, Master’s Thesis, Michigan Technological University, 2017.
• “Evaluating Software Development Effort Estimation Process in Agile Software Development Context,” Juho Leinonen, University of Oulu, Department of Information Processing, May 3, 2016.
• “Improved Size and Effort Estimation Models for Software Maintenance,” Vu Nguyen, University of Southern California, December 2010.
• “Software Cost Estimating Models: A Comparative Study of What the Models Estimate,” George Coggins and Roy Russell, Air Force Institute of Technology, September 1993.
• “Feasibility of Automated Estimation of Software Development Effort in Agile Environments,” Alhad Vinayak Sapre, The Ohio State University, 2012.
• “The Application of Function Points to Predict Source Lines of Code for Software Development,” Garland Henderson, Airforce Institute of Technology, AFIT/GCA/LSY/92S‒4
• “Multivariate and Naïve Bayes Text Classification Approach to Cost Growth Risk in Department of Defense Acquisition Programs,” Charlton E. Freeman, Captain, USAF, Air Force Institute of Technology, 2003.
• “A Software Project Dynamics Model for Process Cost, Schedule and Risk Assessment,” Raymond Joseph Madachy, Industrial and Systems Engineering, University of Southern California, 1994.
• “Using NESMA Function Point Analysis in an Agile Context,” Roel van Rijswijck, Radboud Universiteit Nijmegen, August 2013
• “Developing A Framework for Improving the Quality of Cost Estimates,” Evaggelos Lavdas, School of Applied Sciences, Cranfield University, 2006.
• “Calibration and Validation of The COCOMO II.1997.0 Cost/Schedule Estimating Model to The Space and Missile Systems Center Database,” Wayne A. Bernheisel, AFIT/GCA/LAS/97S‒1.
• “The Analysis of Project Factors for Software Development Effort and Quality: The Impact and Estimation,” Jianglin Huang, City University of Hong Kong, September 2016.
• “Domain-Based Effort Distribution Model for Software Cost Estimation,” Thomas Tan, University of Southern California, August 2012.
• “Bayesian Analysis of Software Cost and Quality Models,” Sunita Devnani‒Chulani, University of Southern California, 1999.
• “Shrinking the Cone of Uncertainty with Continuous Assessment for Software Team Dynamics in Design and Development,” Pongtip Aroonvatanaporn,” Ph.D. Thesis, University of Southern California, August 2012.
• Software Effort Estimation as Collaborative Planning Activity, Kristin Børte, University of Oslo, April 2011.
• “Anchoring and Adjustment in Software Estimation,” Jorge Aranda and Steve Easterbrook, ESEC‒FSE’05, September 5–9, 2005, in ACM SIGSOFT Software Engineering Notes 30(5):346‒355 · August 2005
• “Improving the estimation, contingency planning and tracking of agile software development projects,” Eduardo Miranda, École De Technologie Supérieure, Université Du Québec, 26 August 2010.
• “An Approach to Early Lifecycle Estimating for Agile Projects,” Raymond E. Boehm, School of Computer Science and Information Systems, Pace University December 2011.
• “Evaluating Software Development Effort Estimation Process in Agile Software Development Context,” Juho Leinonen, University of Oulu, Department of Information Processing Science, May 3, 2016
• “Improving Software Quality with Software Error Prediction,” Taneli Taipale, University of Oulu, Department of Computer Science and Engineering, December 2015.
• “Empirical Research on Relative and Absolute Effort Estimation on Software development Projects,” Ivar Fredriksen, University of Oslo, 2 November 2009.
• “Estimating Software Effort Hours for Major Defense Acquisition Programs,” Corinne Wallshein, George Mason University, September 2010.