The art and science of analyzing software data / [edited by] Christian Bird, Tim Menzies, Thomas Zimmermann.
Material type: TextPublication details: Waltham : Morgan Kaufmann / Elsevier, c.2015.Description: xxiii, 660 p. : ill. ; 24 cmSubject(s): DDC classification:- 006.312 22 ART
Item type | Current library | Collection | Call number | Vol info | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|
Book - Borrowing | Central Library Lower Floor | Baccah | 006.312 ART (Browse shelf(Opens below)) | 9128 | Available | 000034323 |
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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