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Perspectives on Data Science for Software Engineering

Thomas Zimmermann author Tim Menzies author Laurie Williams author

Format:Paperback

Publisher:Elsevier Science & Technology

Published:12th Jul '16

Currently unavailable, and unfortunately no date known when it will be back

Perspectives on Data Science for Software Engineering cover

Assembles the expertise and best practices of leading data scientists in software engineering who describe their experience on topics including data collection, sharing, and mining, and how to utilize these techniques in successful software projects

Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was created during the 2014 conference at Dagstuhl, an invitation-only gathering of leading computer scientists who meet to identify and discuss cutting-edge informatics topics. At the 2014 conference, the concept of how to transfer the knowledge of experts from seasoned software engineers and data scientists to newcomers in the field highlighted many discussions. While there are many books covering data mining and software engineering basics, they present only the fundamentals and lack the perspective that comes from real-world experience. This book offers unique insights into the wisdom of the community’s leaders gathered to share hard-won lessons from the trenches. Ideas are presented in digestible chapters designed to be applicable across many domains. Topics included cover data collection, data sharing, data mining, and how to utilize these techniques in successful software projects. Newcomers to software engineering data science will learn the tips and tricks of the trade, while more experienced data scientists will benefit from war stories that show what traps to avoid.

ISBN: 9780128042069

Dimensions: unknown

Weight: 910g

408 pages