The art and science of analyzing software data / [electronic resource] edited by Christian Bird, Tim Menzies, Thomas Zimmermann. Bird, Christian, editor. Menzies, Tim, editor. Zimmermann, Thomas, Ph. D., editor. Data mining. Computer programming Management. QA76.6 006.312 23 Includes bibliographical references and index. Online resource; title from PDF title page (EBSCO, viewed September 9, 2015). 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. -- Edited summary from book. 2015 Text 1 online resource (xxiii, 660 pages) : http://www.sciencedirect.com/science/book/9780124115194 eng Art and science of analyzing software data. Art and science of analyzing software data.