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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Why provenance matters
M.W. Godfrey University of Waterloo, Waterloo, ON, Canada
Abstract
We are increasingly seeking to extract more and more information from our software development artifacts to infer high-level understanding of our products and the processes that create them. However, this begs many questions about the artifacts, their inter-relatedness, their histories, and the quality of the information that can be extracted. That is, the provenance of the artifacts must be studied to be able to answer these kinds of questions; this chapter explores the notion of software artifact provenance.
Keywords
Provenance; Key entities; Defining and scoping the entities of interest; Artifact linkage and ground truth; Scalable matching algorithms ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.