The Art and Science of Analyzing Software Data: Analysis Patterns
Language: English
Published by Morgan Kaufmann Pub, 2015
- Softcover
- New

Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
£ 69.04
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Add to basketItem description from seller
1st edition. 672 pages. 8.43x5.85x0.73 inches. In Stock.
Seller Inventory # 0124115195
- Title
- The Art and Science of Analyzing Software Data: Analysis Patterns
- Author
- Bird, Christian/ Menzies, Tim/ Zimmermann, Thomas
- Publisher
- Morgan Kaufmann Pub
- Publication year
- 2015
- Condition
- Brand New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0124115195
- ISBN 13
- 9780124115194
- Item weight
- 1.41 kilograms
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.
"Synopsis" may belong to another edition of this title.
About the Author
Tim Menzies, Full Professor, CS, NC State and a former software research chair at NASA. He has published 200+ publications, many in the area of software analytics. He is an editorial board member (1) IEEE Trans on SE; (2) Automated Software Engineering journal; (3) Empirical Software Engineering Journal. His research includes artificial intelligence, data mining and search-based software engineering. He is best known for his work on the PROMISE open source repository of data for reusable software engineering experiments.
is a researcher in the Research in Software Engineering (RiSE) group at Microsoft Research, adjunct assistant professor at the University of Calgary, and affiliate faculty at University of Washington. He is best known for his work on systematic mining of version archives and bug databases to conduct empirical studies and to build tools to support developers and managers. He received two ACM SIGSOFT Distinguished Paper Awards for his work published at the ICSE '07 and FSE '08 conferences.
"About the title" may belong to another edition of this title.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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Edward Bowditch Ltd
Exstowe, Exton
Exeter, United Kingdom EX3 0PP
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