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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Simpler questions can lead to better insights
B. Turhan; K. Kuutti University of Oulu, Oulu, Finland
Abstract
In this chapter we share our experiences in conducting a software analytics project on bug prediction. Though the project was a success in terms of scholarly outcomes and performance measures, we ran into difficulties in communicating the results to the practitioners. It turned out that our predictions on the likelihood of edited files to contain bugs were perceived as stating the obvious—even through many different modes of communication/representation; the most useful and insightful representation turned out to be a visualization of the existing issue reports that involved no predictions at all. The solution emerged when we changed ...
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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.
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.