July 2016
Beginner to intermediate
408 pages
10h 58m
English
book
Perspectives on Data Science for Software Engineering
by Tim Menzies, Laurie Williams, Thomas Zimmermann
Content preview from Perspectives on Data Science for Software Engineering
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Diversity in software engineering research
H. Valdivia-Garcia; M. Nagappan Rochester Institute of Technology, Rochester, NY, United States
Abstract
With the popularity and availability of OSS projects, Software Engineering (SE) researchers have made many advances in understanding how software is developed. However, in SE Research, like in any other scientific field, it is always desirable to produce results, techniques, and tools that can apply to a large (or all if possible) number of software projects. The ideal case would be to randomly select a statistically significant sample of software projects. However, past SE studies evaluate hypotheses on a small sample of deliberately chosen OSS projects that are out there in the world. More ...
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