Agile Engineering Performance Measurement Software Engineering 
MPUG
MAY 6, 2021
Please find below a transcription of the audio portion of Fletcher Hearn’s session, Project Performance Measurement – Part 1: Overview Of Project Performance Measurements, being provided by MPUG for the convenience of our members. Kyle: Hello, and welcome to part one of MPUGs Project Performance Measurement course.
MPUG
MAY 14, 2021
Please find below a transcription of the audio portion of Fletcher Hearn’s session, Project Performance Measurement – Part 2: What to Measure and How to Report, being provided by MPUG for the convenience of our members. Kyle: And welcome to Part 2 of MPUG’s Project Performance Measurement course. Is it Eric?
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Herding Cats
DECEMBER 8, 2017
It can be the needed performance of a measure - Effectiveness, Performance, Key Performance Parameter, or a Technical Performance Measures. The specifics of the Technical Performance Measures applied to inform Physical Percent Complete and the Cone of Uncertainty around the TPM are shown here.
Herding Cats
AUGUST 1, 2018
We're writing two chapters in an upcoming Project Management Book, with a working title, The Gower Handbook of Project Performance for Agile, Waterfall and Everything in Between , edited by Mark Phillips. 504, Center for Systems and Software Engineering, University of Southern California, 2012. So here's the outcome.
Herding Cats
JANUARY 22, 2017
Barry Boehm's work in “Software Engineering Economics”. This is the paradigm of the Cone of Uncertainty - it's a planned development compliance engineering tool, not an after the fact data collection tool. The Cone is NOT the result of the project's past performance. Prentice-Hall, 1981.
Herding Cats
FEBRUARY 4, 2017
Barry Boehm's work in “Software Engineering Economics”. The Cone is a project management framework describing the uncertainty aspects of estimates (cost and schedule) and other project attributes (cost, schedule, and technical performance parameters). The Cone is NOT the result of the project's past performance.
Herding Cats
JANUARY 17, 2017
Barry Boehm's work in “Software Engineering Economics”. This is the paradigm of the Cone of Uncertainty - it's a planned development compliance engineering tool, not an after the fact data collection tool. The Cone is NOT the result of the project's past performance. Prentice-Hall, 1981.
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