Remove Engineering Remove Estimate Remove Performance Measurement Remove Software Engineering
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Webinar Recap: Project Performance Measurement – Part 1: Overview Of Project Performance Measurements

MPUG

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.

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Webinar Recap: Project Performance Measurement – Part 2: What to Measure and How to Report

MPUG

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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4 Fallacious Reasons to Estimate and Why Those Are Fallacious

Herding Cats

There's a recent post titled Four Fallacious Reasons to Estimate. It lists the usual suspects for why those spending the money think they don't have to estimate how much they plan to spend when they'll be done producing the value they've been assigned to produce for that expenditure. Let's look at each one in more detail.

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Cone of Uncertainty Bibliography

Herding Cats

The CoU paradigm defines the needed reduction in uncertainty is some performance metric. This can be the confidence in the estimate for any variable. It can be the needed performance of a measure - Effectiveness, Performance, Key Performance Parameter, or a Technical Performance Measures.

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Biases in Project Management and How to Remove Them

Herding Cats

There is always lots of complaining about the biases introduced into managing projects and making the estimates needed to make project decisions. Software engineering economics is about making decisions related to software engineering in a business context. A final Thought . Palacios, Cristina Casado?Lumbreras,

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Cone of Uncertainty - Revisited

Herding Cats

Reducing Estimation Uncertainty with Continuous Assessment: Tracking the 'Cone of Uncertainty’” Pongtip Aroonvatanaporn, Chatchai Sinthop and Barry Boehm, Center for Systems and Software Engineering University of Southern California , Los Angeles, CA 90089, ASE’10 , September 20–24, 2010, Antwerp, Belgium, 2010. 37–48, 2007.

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Cone of Uncertainty - Part Cinq

Herding Cats

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.