The art and science of analyzing software data

The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book shares best practices in the field generated by leading data scientists, collected from their experience training software engineering studen...

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Bibliographic Details
Other Authors: Bird, Christian (Editor), Menzies, Tim (Editor), Zimmermann, Thomas (Editor)
Format: Book
Language:English
Published: Waltham, MA Morgan Kaufmann [date of publication not identified]
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Summary:The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science. The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It covers a wide variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics such as release planning and generation of source code comments
Physical Description:xxiii, 660 pages illustrations 24 cm
Bibliography:Includes bibliographic references and index
ISBN:9780124115194