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Agile project management- A tutorial

Binfire

The Agile project management methodology has been used in the software development and IT industry for the past sixteen years, but recently it has gained wide acceptance by many number of industries and organizations. The ideal team size for the core developers in Agile is around 7-10 engineers. Amazingly nature works.

Agile 100
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Agile project management- A tutorial

Binfire

The conclusion was reached by the research team that an incremental approach to software development works better. The team creates a working prototype quickly and then incrementally improves the software both in terms of functionality and quality. The ideal team size for the core developers in Agile is around 7-10 engineers.

Agile 97
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How to Evaluate Product Management Tools

Appfluence

While product management as the modern discipline that it is today is most often associated with software development, it is recommended for all industries and actually got its start in consumer goods. 1980s-Product Management in Software Development. 1958-Product Management in Space and Defense Programs.

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How to Evaluate Product Management Tools

Appfluence

While product management as the modern discipline that it is today is most often associated with software development, it is recommended for all industries and actually got its start in consumer goods. 1980s-Product Management in Software Development. 1958-Product Management in Space and Defense Programs.

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Questioning Agile Dogma

Leading Agile

In contrast, Edward Yourdon’s book, Death March: The Complete Software Developer’s Guide to Surviving ‘Mission Impossible’ Projects , describes the harm the death march pattern causes and advises software development teams on how to survive it. Survival is the best the teams can hope for.

Agile 94
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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.