The Art and Science of Analyzing Software Data (Paperback)

The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book 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. The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It covers a wide variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics such as 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.

General

Imprint:	Morgan Kaufmann Publishers In
Country of origin:	United States
Release date:	August 2015
First published:	2015
Editors:	Christian Bird • Tim Menzies • Thomas Zimmermann
Dimensions:	235 x 191 x 38mm (L x W x T)
Format:	Paperback
Pages:	672
ISBN-13:	978-0-12-411519-4
Categories:	Books > Computing & IT > General theory of computing > Systems analysis & design Books > Computing & IT > Computer programming > Software engineering Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	0-12-411519-5
Barcode:	9780124115194

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