The IIL Blog

OCTOBER 24, 2023

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]

Artificial Inteligence 88

Artificial Inteligence Technical Review ChatGPT Generative AI 88

Herding Cats

MAY 10, 2019

Risk Management is essential for development and production programs. Risk issues that can be identified early in the program, which will potentially impact the program later, termed Known Unknowns and can be alleviated with good risk management. Effective Risk Management 2 nd Edition , Edmund Conrow, AIAA, 2003.

Risk Management 38

Risk Management Risk Technical Review 2002 38

Herding Cats

MAY 11, 2019

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.

Risk Management 35

Risk Management Risk Technical Review 2002 35

Herding Cats

OCTOBER 5, 2018

The beginning of all business critical software development projects is the point in time when performing organizations are least certain about the project, yet it is also the time when top management expects to be delivered project estimates that are very precise. 1, January 2011. "A 37–48, 2007.

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2012 2007 2011 2010 48