Agile Performance Measurement Software Development 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
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.
Herding Cats
AUGUST 27, 2017
Although I understand measuring productivity could work well for repeatable activities, it's hard to believe it works well for abstract and, ultimately, non-repeatable tasks like software development. Thus, the common approach to "measure productivity" is to compare the estimates against what, in fact, happened.
Herding Cats
JANUARY 22, 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). There can be cost and schedule performance measures as well.
Herding Cats
JUNE 19, 2017
The Cone of Uncertainty is a framing assumption used to model the needed reduction in some parameter of interest in domains ranging from software development to hurricane forecasting. The Cone of Uncertainty as a Technical Performance Measure. The Cone of Uncertainty as a Technical Performance Measure.
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). There can be cost and schedule performance measures as well.
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