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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