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Five reasons why Scrum is not helping in getting twice the work done in half the time

Scrum.org

It is not only because the book is good, but I felt connected with one of the case studies. But it makes more sense to measure time to market, customer satisfaction, NPS, usages index, response time, and innovation rate. Just processes will not improve speed on the road, and we also need a better car with a newer engine.

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

Scrum.org

It doesn’t matter whether you look at the available research on the progress of DX (⁶), case studies, the job market, the number of certification holders, public training or conferences; the evidence tells the same story. In other words, for most people in Japan, software development was and remained an exercise in box checking.

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

Scrum.org

They also note that this is particularly relevant to complex challenges, which is typically the case for the product innovation that happens in Agile teams. SCRUM and productivity in software projects: a systematic literature review. A survey study of critical success factors in agile software projects. Cruzes, D.

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5 Agile Methodologies for Project Managers that are not Scrum Framework

Project Pulse Journal

Each methodology is relevant in its own right, unlocking potential, driving innovation, and ensuring that your projects meet expectations. This methodology addresses the specific needs of software development conducted under tight schedules and with rapidly changing requirements. What Makes Lean Software Development Agile?

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Risk Management Resources

Herding Cats

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. IEEE Transactions on Software Engineering , Vol. Software Engineering Institute, January 1996. De Meyer, C. Loch, and M.

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A Compendium of Risk Management Resources

Herding Cats

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. IEEE Transactions on Software Engineering , Vol. Software Engineering Institute, January 1996. De Meyer, C. Loch, and M.

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Misunderstanding Making Decisions in the Presence of Uncertainty

Herding Cats

Hybrid–Agile Software Development Anti–Patterns, Risks, and Recommendations,” Paul E. McMahon, Cross Talk: The Journal of Defense Software Engineering , July/August 2015, pp. Architecting Large Scale Agile Software Development: A Risk–Driven Approach,” Ipek Ozkaya, Michael Gagliardi, Robert L. Kirkeboen, G., &

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