July 2016
Beginner to intermediate
408 pages
10h 58m
English
book
Perspectives on Data Science for Software Engineering
by Tim Menzies, Laurie Williams, Thomas Zimmermann
Content preview from Perspectives on Data Science for Software Engineering
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Embrace dynamic artifacts
Venkatesh-Prasad Ranganath Kansas State University, Manhattan, KS, United States
Abstract
When we talk about data science in the context of software engineering, we often only consider static artifacts that are independent of (or not generated by) the execution of software, eg, source code, version history, bug reports, mailing lists, developer network, and organization structure. We seldom consider dynamic artifacts that are dependent on (or generated by) the execution of software, eg, execution logs, crash/core dumps, call stacks, and traffic logs. Specifically, we seldom consider dynamic artifacts to enable the use of data science to improve software engineering tasks such as coding, testing, and debugging ...
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