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

Scrum.org

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”. This post is ideal for developers with some experience, and for people who support developers in the development of their technical skills.

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

Scrum.org

Is it really that important that they are autonomous, able to release frequently, interact closely with stakeholders and spend all that time on continuous improvement? However, the sheer effort involved is so gargantuan that this is close to impossible. So we went to Google Scholar and searched for review articles.

Agile 198
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In-Depth: Stable Or Fluid Teams? What Does The Science Say?

Scrum.org

Research has linked team cognition to higher performance and motivation (Mathieu et al, 2000), increased effectiveness (Kearny, Gebert & Voelpel, 2009), and generally explains a substantial amount of the variance (~19%) in the effectiveness of teams (De Church & Mesmer-Magnus, 2010). Closing Words. Bradley et.

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Why Agile Transformations sometimes fail

Scrum.org

Based on my experience working in agile environments since 2010, I did some research and had general observations on the topic. Another observation I have made is a strong focus on delivery, productivity, technology and effectiveness. A huge technical debt, sporadic releases, lack of continuous integration, etc.,

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Online Collaboration Software

Binfire

The hi-tech giants like Google, Microsoft, Oracle, and Apple are all actively investing in the collaboration market. A virtual office if created right, closes the gap between in-person meetings and online meeting significantly. . A quick review of collaboration software buyer’s guide. Billion. . Where they are today.

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Risk Management Resources

Herding Cats

Information about key project cost, (technical) performance, and schedule attributes is often uncertain or unknown until late in the program. 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.

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A Compendium of Risk Management Resources

Herding Cats

Information about key project cost, (technical) performance and schedule attributes is often uncertain or unknown until late in the program. 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.