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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Table of Contents
Perspectives on data science for software engineering
Software analytics and its application in practice
Six Perspectives of Software Analytics
Experiences in Putting Software Analytics into Practice
Seven principles of inductive software engineering: What we do is different
Principle #1: Humans Before Algorithms
Principle #3: Get Early Feedback
Principle #5: Be smart with your learning
Principle #6: Live With the Data You Have
Principle #7: Develop a Broad Skill Set That Uses a Big Toolkit
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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.