TY  - BOOK
AU  - Bird,Christian
AU  - Menzies,Tim
AU  - Zimmermann,Thomas
TI  - The art and science of analyzing software data
U1  - 006.312 22
PY  - 2015///
CY  - Waltham
PB  - Morgan Kaufmann / Elsevier
KW  - Data mining
KW  - BUEsh
KW  - Quantitative research
KW  - COMSCI
KW  - October2016
N1  - Index : p. 649-660; Includes bibliographical references; Access restricted by licensing agreement
N2  - 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. --
ER  -