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The art and science of analyzing software data / [edited by] Christian Bird, Tim Menzies, Thomas Zimmermann.

Contributor(s): Material type: TextTextPublication details: Waltham : Morgan Kaufmann / Elsevier, c.2015.Description: xxiii, 660 p. : ill. ; 24 cmSubject(s): DDC classification:
  • 006.312 22 ART
Summary: This book provides valuable information on analysis techniques often used to derive insight from software data. It 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. Topics include: analysis of security data; code reviews; app stores; log files; user telemetry; co-change, text, topic and concept analyses; release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions. --
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Holdings
Item type Current library Collection Call number Vol info Status Date due Barcode Item holds
Book - Borrowing Book - Borrowing Central Library Lower Floor Baccah 006.312 ART (Browse shelf(Opens below)) 9128 Available 000034323
Total holds: 0

Index : p. 649-660.

Includes bibliographical references.

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This book provides valuable information on analysis techniques often used to derive insight from software data. It 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. Topics include: analysis of security data; code reviews; app stores; log files; user telemetry; co-change, text, topic and concept analyses; release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions. --

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