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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Combining quantitative and qualitative methods (when mining software data)
M. Di Penta University of Sannio, Benevento, Italy
Abstract
In recent years, empirical research in software engineering has gained a lot of maturity. This is in part thanks to the availability of a large amount of data from different kinds of software repositories, as well as of techniques to mine them, eg, for tracing data from heterogeneous sources, summarizing changes, or mining unstructured and semistructured data sources. Noticeably, the analysis of data from software repositories has also gained a lot of attention in industry, where developers rely on software data to make important decisions. This chapter discusses how quantitative techniques for mining software ...
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