Agile Performance Measurement Software Developers 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
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.
Herding Cats
APRIL 4, 2019
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. Agile Risk Management and DSDM Pocketbook , Alan Moran, IARM. Probabilistic Risk Assessment and Management for Engineers and Scientist 2nd Edition , Ernest J.
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.
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