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Implications of Artificial Intelligence on Project Management

The IIL Blog

For over a quarter of a century, the Standish Group has tracked, reported, and improved software-intensive project success rates. [1] The future of AI in project management will depend on how we implement, use, and govern it! degree in Information Systems from the University of Southern California and a B.B.A. Air Force officer.

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Current State and Future Prospects of Scrum and Agile Development in Japan

Scrum.org

Adoption of different methods and practices in Japan ( "DX White-Paper Executive Summary" Information-Technology Promotion Agency p11 ) Japanese culture Japanese businesses have a strong desire to avoid risk and minimize unexpected events. It became a powerful economy and generated many innovations the world still benefits from today.

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9 Best Practices for Recruiting Developers With Skills Tests

Teamweek

What’s the problem with recruiting software developers? The demand for software developers far outweighs the available supply, making it a real challenge to find the right candidates. To make matters worse, top-notch software engineers know their worth and often expect handsome salaries.

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Why Your Software Isn’t Soft and What You Can Do About It

Leading Agile

That idea of big upfront design and late testing kind of got codified into a lot of our process governance around there. So I guess what I was just saying is that we’re making it worse a little bit by codifying some of those practices into our governance models. Chris Beale Yeah, absolutely.

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Project Management Maturity Models: A Basis for Reaching Your Organization’s Business Success

Epicflow Blog

The second dimension represents the maturity levels based on the Capability Maturity Model developed by the Software Engineering Institute (one of the most popular and widely-accepted models of organizational maturity assessment). Project information is analyzed and used for business decisions’ optimization. .

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Software Estimating Resources

Herding Cats

Effort Distribution to Estimate Cost in Small to Medium Software Development Project with Use Case Points,” Putu Linda Primandari and Sholiq, The Third Information Systems International Conference, Procedia Computer Science, 72, pp. Software Development Effort Estimation using Fuzzy Bayesian Belief Network with COCOMO II,” B.

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Misunderstanding Making Decisions in the Presence of Uncertainty

Herding Cats

Our perception of this world - the data and information we receive about these behaviors. Information about key project cost, performance, and schedule attributes is often uncertain or unknown until late in the program. Hybrid–Agile Software Development Anti–Patterns, Risks, and Recommendations,” Paul E.

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