Herding Cats

NOVEMBER 7, 2016

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

Estimate 64

Estimate 2006 2005 2013 64

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. COSMIC Software Estimation Approach,” Alain Abran, ICEAA Workshop, Portland Oregon, June 6?

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Estimate Software Review Software 2012 40

Herding Cats

MARCH 11, 2017

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2003 46

2003 2014 2015 2011 46

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MAY 10, 2019

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. IEEE Transactions on Software Engineering , Vol. Software Engineering Institute, January 1996. 4, February 24, 2015.

Risk Management 38

Risk Management Risk Technical Review 2002 38

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MAY 11, 2019

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. IEEE Transactions on Software Engineering , Vol. Software Engineering Institute, January 1996. 4, February 24, 2015.

Risk Management 35

Risk Management Risk Technical Review 2002 35

Herding Cats

APRIL 4, 2019

Proofing Your Project , 3rd Edition, Tom Kendrick, AMACOM, March 25, 2015. Software Engineering Risk Management: Finding your Path Through the Jungle, Version 1.0 , Dale Karolak, IEEE Computer Society, 1998. Waltzing with Bears: Managing Risk on Software Projects, Tom Demarco and Timothy Lister, Dorset House, 2003.

Risk Management 43

Risk Management Risk 2003 2011 43

Scrum.org

OCTOBER 19, 2022

2015) collected data from 141 team members, Scrum Masters, and Product Owners from 40 projects. SCRUM and productivity in software projects: a systematic literature review. In 14th International Conference on Evaluation and Assessment in Software Engineering (EASE) (pp. Van Kelle et. C., & da Silva, F. 2010, April).

Agile 199

Agile 2010 2013 2008 199