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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How the release process impacts your software analytics
Bram Adams Polytechnique Montréal, Canada
Abstract
In recent years, software analytics research and practice has started to flourish thanks to the abundant availability of data from software repositories such as version control systems, bug repositories or code review platforms. However, blind analysis of this data, without taking into account the release engineering process into which code changes, issue reports or code reviews fit, leads to incorrect assumptions and (eventually) misleading results. This chapter explores the problem of linking code changes and issue reports to the right release using defect prediction as running example, and suggests how the data inside the version ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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.