Remove Estimate Remove Performance Measurement Remove Planning 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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Misinterpretations of the Cone of Uncertainty

Herding Cats

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.

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Microeconomics and Risk Management in Decision Making for Software Development

Herding Cats

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.

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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. With these business principles of software development and projects in general, we can ask and answer five principles of project success. What Resources will be needed to reach Done?