Remove Governance Remove Risk Management Remove Software Engineering Remove Technical Review
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Implications of Artificial Intelligence on Project Management

The IIL Blog

By Eugene Bounds and Steve Ackert Recently, the buzzword artificial intelligence (AI) has been on everyone’s minds, not just in the tech world but across many industries, including project management. For over a quarter of a century, the Standish Group has tracked, reported, and improved software-intensive project success rates. [1]

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Risk Management Resources

Herding Cats

Risk Management is essential for development and production programs. Information about key project cost, (technical) performance, and schedule attributes is often uncertain or unknown until late in the program. Effective Risk Management 2 nd Edition , Edmund Conrow, AIAA, 2003. Risk Management Papers. “A

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A Compendium of Risk Management Resources

Herding Cats

This blog page is dedicated to the resources used to manage the risk encountered on software-intensive systems using traditional and agile development methods. Let's start with a critical understanding of the purpose of managing risk on software development projects. reducible and irreducible ? De Meyer, C.

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Misunderstanding Making Decisions in the Presence of Uncertainty

Herding Cats

Uncertainty is related to three aspects of the management of projects: The external world - the activities of the project itself. The naturally occurring work effort in the development of a software feature - even if we've built the feature before - is an irreducible uncertainty. An aleatory risk is expressed as a relation to a value.

2003 46
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Without a Root Cause Analysis, No Corrective or Preventive Action is Credible - Part 1

Herding Cats

“A Taxonomy of an IT Project Failure: Root Causes,” Walid Al-Ahmad, Et Al, International Management Review, Vol. Why Do Information Technology Projects Fail?” Automated Root Cause Isolation of Performance Regressions during Software Development,” Christopher Heger, Jens Happer, and Roozbeh Farahbod, ICPE ’13, April 21?24,

2014 45
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Webinar Recap: Project Performance Measurement – Part 2: What to Measure and How to Report

MPUG

You may wish to use this transcript for the purposes of self-paced learning, searching for specific information, and/or performing a quick review of webinar content. And today’s session is eligible for 1 PMI PDU in the technical category and the activity for claiming that with PMI is on the screen now. Fletcher Hearns: Great.

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Cone of Uncertainty Bibliography

Herding Cats

I work in a domain where the CoU is baked into the Integrated Program Performance Management (IPPM) processes flowed down from the buyer, in this case, the Federal Government. It can be the needed performance of a measure - Effectiveness, Performance, Key Performance Parameter, or a Technical Performance Measures.