Agile Performance Measurement Software 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
MARCH 11, 2018
Microeconomics is applicable to the development is software systems. 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."
Herding Cats
APRIL 4, 2019
Research shows that for projects, especially software projects Aleatory uncertainty is the predominant source of risk. All making things smaller dos is show that you're late, over budget, and what you're building (Technical Performance Measures) doesn't work faster. Software Risk Management , Barry W.
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. The Cone of Uncertainty,” Stephen Gryphon, Phillippe Kruchten, and Steve McConnell, Letters, IEEE Software , 23 (5) 2006, pp 8?10.
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.
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