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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. AI technology will automate repetitive processes, generate insightful program reports, and highlight potential problems before they arise.

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In-Depth: The Evidence-Based Business Case For Agile

Scrum.org

So we went to Google Scholar and searched for review articles. 2010) reviewed 28 scientific studies that investigated how Scrum is associated with overall business outcomes. A strength of such a review is that it allows for the identification of patterns across many studies. Information and Software Technology , 78 , 83–94.

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What Makes A Good Product Owner?

Scrum.org

This includes training, technical support, and preparation for new releases. One of the reviewers of this article, Maarten Dalmijn , noted that he missed “product discovery” as a core activity in the work by Bass (2018). The Sprint Review is an excellent opportunity to engage in product discovery. rather than on your own”.

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Project Delivery through the Definition of Done

Project Pulse Journal

Due to their different approaches to project management, this definition varies significantly between Agile and Waterfall methodologies. Extreme Programming (XP) - The DoD includes passing all unit tests, code reviews, and integration tests. They should include specific performance metrics, testing requirements, and review processes.

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Risk Management Resources

Herding Cats

Information about key project cost, (technical) performance, and schedule attributes is often uncertain or unknown until late in the program. Taxonomy-Based Risk Identification,” Marvin Carr, Suresh Konda, Ira Monarch, Carlo Ulrich, and Clay Walker, Technical Report, CMU/SEI-93-TR-6, Software Engineering Institute, June 1993.

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A Compendium of Risk Management Resources

Herding Cats

Let's start with a critical understanding of the purpose of managing risk on software development projects. Information about key project cost, (technical) performance and schedule attributes is often uncertain or unknown until late in the program. IEEE Transactions on Software Engineering , Vol. De Meyer, C.

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Cone of Uncertainty Bibliography

Herding Cats

It can be the needed performance of a measure - Effectiveness, Performance, Key Performance Parameter, or a Technical Performance Measures. The specifics of the Technical Performance Measures applied to inform Physical Percent Complete and the Cone of Uncertainty around the TPM are shown here. Here's a summary of these elements.