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Project Management, Performance Measures, and Statistical Decision Making

Herding Cats

Here's a typical graph showing a core problem in the software development domain. . Schedule Estimation and Uncertainty Surrounding the Cone of Uncertainty, Todd Little, IEEE Software , May/June 2006. Related articles. Your project may be different in practice, but the principles are the same. OMB A-11 Part 7.

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A Compendium of Works to Increase the Probability of Project Success

Herding Cats

Here are my collected works, presentations, briefings, journal papers, articles, white papers, and essays, used to increase the Probability of Project Success (PoPS) I've developed and applied over my career in the software-intensive system of systems domain. Project Performance Management. Technical Performance Measures.

2003 54
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Deconstructing The Cone of Uncertainty

Herding Cats

Landmark’s measure of success over these three years had much more to do with customer satisfaction and market share than with meeting knowingly aggressive targets. It's suggested from observations, the Cone of Uncertainty (CoU) is not a valid model of how uncertainty behaves in software development projects. Related articles.

2007 42
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Cone of Uncertainty - Part Cinq

Herding Cats

When actual measures of cost, schedule, and technical performance are outside the planned cone of uncertainty, corrective actions must be taken to move those uncertanties inside the cone of uncertanty, if the project is going to meet it's cost, schedule, and technical performance goals. . IEEE Software, March-April 2009, pp.

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Cone of Uncertainty - Part Cinq (Updated)

Herding Cats

The Measures that are modeled in the Cone of Uncertainty are the Quantitative basis of a control process that establishes the goal for the performance measures. This is a closed loop control system for managing the program with a T echnical Performance Measure (TPM). IEEE Software, March-April 2009, pp.

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Cone of Uncertainty - Part Trois

Herding Cats

When actual measures of cost, schedule, and technical performance are outside the planned cone of uncertainty, corrective actions must be taken to move those uncertanties inside the cone of uncertanty, if the project is going to meet it's cost, schedule, and technical performance goals. . IEEE Software, March-April 2009, pp.