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On Technical Debt And Code Smells: Surprising insights from scientific studies

Scrum.org

Each post discusses scientific research that is relevant to our work with Scrum and Agile teams. Why do software teams?—?despite So I was pleasantly surprised when Carsten Grønbejrg Lützen pointed at a peer-reviewed academic paper by Michele Tufano and his colleagues (2015), called “When and Why Your Code Starts To Smell Bad”.

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The unbreakable bond: How outstanding service = brand loyalty

Rebel’s Guide to PM

In addition, 89% of consumers moved to rivals after having a bad customer experience [ii]. User stories can help project teams put customer needs at the heart of what they build. Check out more project management trends shaping how we deliver projects successfully this year for other ideas of how to empower teams.

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How To Base Your Beliefs About Agile On Evidence

Scrum.org

What is the optimal size of a team? Should teams be stable over at least several years, or is it a good idea they change at will? How should leadership interact with autonomous teams? Is scaling always a bad idea? Of all the impediments that a team faces, which is the one to focus on first? So where do you find it?

Agile 190
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Complete Collection of Project Management Statistics 2015

Wrike

Keys to Project Success: 48% say the team’s technical skills. 26% say effective team communication. Lean & Test Driven Development (TDD) – 11%. Feature Development Driven – 9%. Dynamic Systems Development Method – 3%. Technology. Poor visibility & resource management : 31%.

2015 60
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Top Solutions to Project Failure – Epicflow Research Part 2

Epicflow Blog

We all dream of reaching maximum success with our teams and projects, even though project failure is common. We’ve surveyed members of LinkedIn PM communities to find out what leads to project failure. Our survey participants suggested various effective ways to mitigate the causes of project failure. Involve Your Stakeholders.

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Software Estimating Resources

Herding Cats

This blog page is dedicated to the resources used to estimate software-intensive systems using traditional and agile development methods. Cost Modeling Agile Software Development,” Maarit Laanti and Petri Kettunen, International Transactions on Systems and Applications, Volume 1 Number 2, pp. Performance Evaluation of non?

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Estimating is a Learned Skill

Herding Cats

And the same process is applied to the Scrum development processes on those projects. . Numerical anchors and their strong effects on software development effort estimates,” Erik Løhrea, and Magne Jørgensen, Simula Research Laboratory, Oslo. The Future of Systems-and Software Development. Springer International Publishing, 2016.