01821cam a22003135a 4500 12681803 20161018125126.0 151128t2015 maua frb 001 0 eng d 9780124115194 CtWfDGI eng pn CtWfDGI EG-ScBUE 006.312 22 ART The art and science of analyzing software data / [edited by] Christian Bird, Tim Menzies, Thomas Zimmermann. Waltham : Morgan Kaufmann / Elsevier, c.2015. xxiii, 660 p. : ill. ; 24 cm. Index : p. 649-660. Includes bibliographical references. Access restricted by licensing agreement. 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. -- First time users must register for a free personal username and password. Access is available to the Yale community. Data mining. BUEsh 27695 Quantitative research. BUEsh 12353 BUEsh COMSCI October2016 Bird, Christian, editor. Menzies, Tim, editor. Zimmermann, Thomas, 1961- editor. ddc 22682 22654 0 0 ddc 0 0 Baccah MAIN MAIN LOW 2016-10-18 Purchase 595.00 9128 0 006.312 ART 000034323 2025-07-15 00:00:00 743.75 BB