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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Lies, damned lies, and analytics
Why big data needs thick data
M.-A. Storey University of Victoria, Victoria, BC, Canada
Abstract
Software analytics and the use of computational methods on “big data” in software engineering is transforming the ways software is developed, used, improved and deployed. Software engineering researchers and practitioners are witnessing an increasing trend in the availability of diverse trace and operational data and the methods to analyze it. This information is being used to paint a picture of how software is engineered and suggest ways it may be improved. But we have to remember that software engineering is inherently a socio-technical endeavour, with complex practices, activities and cultural aspects that ...
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