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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Measuring individual productivity
T. Fritz University of Zurich, Zurich, CHE
Abstract
Measuring productivity of individual developers is challenging. In some domains, such as car manufacturing, specific outcome measures over time, such as the number of cars produced in a day, can work well to measure and incentivize productivity. However, the less clearly defined and more flexible process of software development makes it difficult, if not impossible, to define such measures. In particular, there is no single and simple best metric that can be used for all software developers and more individual combinations of measures are wanted and needed that also take into account the process and not just the final outcome. In this chapter, we will ...
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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.