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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Don't forget the developers! (and be careful with your assumptions)
A. Orso Georgia Institute of Technology, Atlanta, GA, United States
Abstract
This chapter is not about data science for software engineering specifically; it is rather a general reflection about the broad set of techniques whose goal is to help developers perform software engineering tasks more efficiently and/or effectively. As a representative of these techniques, we studied spectra-based fault localization (SBFL), an approach that has received a great deal of attention in the last decade. We believe that studying SBFL, how it evolved over the years, and the way in which it has been evaluated, can teach us some general lessons that apply to other research areas that ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.