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Implications of Artificial Intelligence on Project Management

The IIL Blog

AI is a branch of computer science that focuses on providing computer hardware and software with the ability to execute intelligent tasks with Generative AI (GenAI) learning and improving with each query. 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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Basis of Estimating Software Development

Herding Cats

The estimating of software development is both straightforward and complex. Here are some resources that will provide guidance to produce credible software development estimates, in both traditional and agile domains. Software Sizing and Estimating: Mk II FPA , Charles Symons, John Wiley & Sons, 1991. Don't hear one?

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Reading List for the Cone of Uncertainty

Herding Cats

The primary purpose of software estimation is not to predict a project’s outcome; it is to determine whether a project’s targets are realistic enough to allow the project to be controlled to meet them ? This variation can be explained by the fact that initial concepts do not describe the final software system accurate enough.

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Risk Management Resources

Herding Cats

This blog page is dedicated to the resources used to assess risks, their impacts, and handling strategies for software-intensive systems using traditional and agile development methods. IEEE Transactions on Software Engineering , Vol. 255, April 2010. 24, 2010. “A México, 1 al 3 de Febrero de 2006.

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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. IEEE Transactions on Software Engineering , Vol.

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Cone of Uncertainty - Revisited

Herding Cats

“The Cone of Uncertainty,” Stephen Gryphon, Phillippe Kruchten, and Steve McConnell, Letters, IEEE Software , 23 (5) 2006, pp 8?10. Coping with the Cone of Uncertainty: An Empirical Study of the SAIV Process Model,” Da Yang, Barry Boehm, Ye Yang, Qing Wang, and Mingshu Li, ICSP 2007 , LNCS 4470, pp. 37–48, 2007.

2012 29
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Resources for Cone of Uncertainty

Herding Cats

Seems there is still some confusion (intentional or accidental) about the Cone of Uncertainty and its purpose and its use in software development. And if the competitor is shipping software with greater value, how does the Cone impact that? 37-48, 2007. 37-48, 2007. Thesis, University of Southern California, August 2012.

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