The IIL Blog

OCTOBER 24, 2023

By Eugene Bounds and Steve Ackert Recently, the buzzword artificial intelligence (AI) has been on everyone’s minds, not just in the tech world but across many industries, including project management. For over a quarter of a century, the Standish Group has tracked, reported, and improved software-intensive project success rates. [1]

Artificial Inteligence 88

Artificial Inteligence Technical Review ChatGPT Generative AI 88

Herding Cats

MAY 10, 2019

Information about key project cost, (technical) performance, and schedule attributes is often uncertain or unknown until late in the program. Taxonomy-Based Risk Identification,” Marvin Carr, Suresh Konda, Ira Monarch, Carlo Ulrich, and Clay Walker, Technical Report, CMU/SEI-93-TR-6, Software Engineering Institute, June 1993.

Risk Management 38

Risk Management Risk Technical Review 2002 38

Herding Cats

MAY 11, 2019

Let's start with a critical understanding of the purpose of managing risk on software development projects. Information about key project cost, (technical) performance and schedule attributes is often uncertain or unknown until late in the program. IEEE Transactions on Software Engineering , Vol. De Meyer, C.

Risk Management 35

Risk Management Risk Technical Review 2002 35

Herding Cats

MARCH 11, 2017

So in the end, if we are to make a decision in the presence of uncertainty, we MUST make estimates to develop a reliable shipping date while producing an accurate and precise estimate of the cost, schedule, and technical performance of the product shipped on that date. Eggstaff, Thomas A.

2003 46

2003 2014 2015 2011 46

Herding Cats

MARCH 11, 2018

If we look at the discipline of software engineering, we see that the microeconomics branch of economics deals more with the types of decisions we need to make as software engineers or managers. Software engineering economics." IEEE Transactions of Software Engineering, 1 (1984): 4-21.

Software Developers 34

Software Developers Software Development Risk Management Risk 34

Herding Cats

MAY 7, 2019

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

Estimate 40

Estimate Software Review Software 2012 40

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). Software quality measurement,” Magne Jørgensen, Advances in Engineering Software 30 (1999) 907–912.

Estimate 64

Estimate 2006 2005 2013 64