Remove Influencer Remove Project Cost Remove Software Developers Remove White Paper
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Compendium of Works to Increase Probability of Project Success

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Agile Software Development (#ASD). Journal Papers, White Papers, and Essays on Project Success (#Papers). Agile and Earned Value Management Bibliography of papers, books, and thesis (#Biblio). Those lessons are directly transferable to the management of software development teams.

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DDSTOP The Saga Continues

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There's been a rash of conjectures about all kinds of bad business, project, and software development (agile and traditional) management ideas of late. For software development starts with. Then you can read " A Complexity Primer for Systems Engineers, A White Paper." Complexity Primer (Sandia).

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DDSTOP The Saga Continues

Herding Cats

There's been a rash of conjectures about all kinds of bad business, project, and software development (agile and traditional) management ideas of late. And money in the bank is what software development is about. Traditional software development processes are like watchmaking.

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The Best 53 Project Management Blogs You Should Be Reading

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Influence – We considered Moz’s Domain Authority (DA) to predict how a website can rank on Google’s SERP. Project Management Software Developers. Without further ado, here is our list of the best project management blogs at the moment (in no particular order): Individual Authors. Mike Cohn’s Blog.

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Estimating is a Learned Skill

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“Believing is Seeing: Confirmation Bias Studies in Software Engineering, “Magne Jørgensen and Efi Papatheocharous, 41st Euromicro Conference on Software Engineering and Advanced Applications (SEAA). The Use of Precision of Software Development Effort Estimates to Communicate Uncertainty,” Magne Jørgensen, Software Quality Days.

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Software Estimating Resources

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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. 229 “How Should We Estimate Agile Software Development Projects and What Data Do We Need?”