Herding Cats

MARCH 17, 2019

Here are my collected works, presentations, briefings, journal papers, articles, white papers, and essays, used to increase the Probability of Project Success (PoPS) I've developed and applied over my career in the software-intensive system of systems domain. Project Governance. Project Driven Organization Framework.

2003 54

2003 2011 2008 Performance Measurement 54

MPUG

SEPTEMBER 28, 2020

Federal and state governments. Software development. In 2001, new methodology pioneers met in Snowbird, Utah to share their experiences and to suggest ideas for improving the world of software development. They came up with the Agile Manifesto to streamline the development process. Energy and utilities.

Retail 119

Retail PMI 2001 2011 119

Herding Cats

MAY 7, 2019

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. Software Development Effort Estimation using Fuzzy Bayesian Belief Network with COCOMO II,” B.

Estimate 40

Estimate Software Review Software 2012 40

Herding Cats

MARCH 11, 2017

“Quantifying Uncertainty in Early Lifecycle Cost Estimation (QUELCE),” Robert Ferguson, Dennis Goldenson, James McCurley, Robert Stoddard, David Zubrow, and Debra Anderson, Technical Report, CMU/SEI-2011-TR-026 ESC-TR-2011-026. Hybrid–Agile Software Development Anti–Patterns, Risks, and Recommendations,” Paul E.

2003 46

2003 2014 2015 2011 46

Herding Cats

NOVEMBER 7, 2016

“Believing is Seeing: Confirmation Bias Studies in Software Engineering, “Magne Jørgensen and Efi Papatheocharous, 41st Euromicro Conference on Software Engineering and Advanced Applications (SEAA). The Use of Precision of Software Development Effort Estimates to Communicate Uncertainty,” Magne Jørgensen, Software Quality Days.

Estimate 64

Estimate 2006 2005 2013 64

Herding Cats

OCTOBER 5, 2018

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 ? A Probabilistic Method for Predicting Software Code Growth," Michael Ross, Journal of Cost Analysis and Parametrics 4:127-147, 2011. "10

2012 48

2012 2007 2011 2010 48

Herding Cats

MAY 10, 2019

IEEE Transactions on Software Engineering , Vol. 5, September/October 2011. Project risk management: lessons learned from software development environment,” Young Hoon Kwak and Jim Stoddard,” Technovation , 24(11), pp. Project Risk Management: Lessons Learned from Software Development Environment,” Y.

Risk Management 38

Risk Management Risk Technical Review 2002 38