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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Continuously experiment to assess values early on
J. Münch Reutlingen University, Reutlingen, GermanyUniversity of Helsinki, Helsinki, FinlandHerman Hollerith Center, Böblingen, Germany
Abstract
Most modern software development activities are focusing on domains of emergence where experts cannot know a priori what kind of software provides value to users and customers. This is fundamentally different to traditional software engineering for large systems where a priori analysis by experts is used to identify requirements. While the latter is gaining a niche software category, developing and establishing development practices for domains of emergence is becoming significantly important and urgent. A major challenge is to find the right scope ...
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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.