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

Scrum.org

2010) reviewed 28 scientific studies that investigated how Scrum is associated with overall business outcomes. Several empirical studies have indeed found that teams with a frequent delivery strategy are more likely to deliver successful project outcomes and satisfy stakeholders than teams that do not ( Chow & Cao, 2008 , Jørgensen, 2016 ).

Agile 214
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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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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 requires making estimates) ? 3, March 2002.

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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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Microeconomics and Risk Management in Decision Making for Software Development

Herding Cats

Microeconomics is applicable to the development is software systems. If we look at the discipline of software engineering, we see that the microeconomics branch of economics deals more with the types of decisions we need to make as software engineers or managers. Software engineering economics."