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Software Design X-Rays Fix Technical Debt with Behavioral Code Analysis

Software Design X-Rays Fix Technical Debt with Behavioral Code Analysis

Software Design X-Rays Fix Technical Debt with Behavioral Code Analysis
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Software Design X-Rays Fix Technical Debt with Behavioral Code Analysis Softcover - 2018

by Tornhill

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  • Paperback
Used - Very Good Condition

Description

Pragmatic Bookshelf, USA, 2018. Edition Unstated. Softcover. Very Good Condition. Text appears to be clean. Cover has some wear and corner bumps. Spine is in very good condition. This book is a softcover. Multiple copies available this title. Quantity Available: 2. Shipped Weight: Under 1 kilo. Category: Education; ISBN: 1680502727. ISBN/EAN: 9781680502725. Pictures of this item not already displayed here available upon request. Inventory No: 1561056263. . 9781680502725
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Details

  • Title Software Design X-Rays Fix Technical Debt with Behavioral Code Analysis
  • Author Tornhill
  • Binding Paperback
  • Edition Edition Unstated
  • Condition Used - Very Good Condition
  • Pages 276
  • Volumes 1
  • Language ENG
  • Publisher Pragmatic Bookshelf, USA
  • Publication date 2018
  • Features Maps
  • Bookseller's Inventory # 1561056263
  • ISBN 9781680502725 / 1680502727
  • Weight 1.06 lbs (0.48 kg)
  • Dimensions 9.25 x 7.5 x 0.58 in (23.50 x 19.05 x 1.47 cm)
  • Category Computers - General Information
  • Quantity available 2

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From the publisher

Are you working on a codebase where cost overruns, death marches, and heroic fights with legacy code monsters are the norm? Battle these adversaries with novel ways to identify and prioritize technical debt, based on behavioral data from how developers work with code. And that's just for starters. Because good code involves social design, as well as technical design, you can find surprising dependencies between people and code to resolve coordination bottlenecks among teams. Best of all, the techniques build on behavioral data that you already have: your version-control system. Join the fight for better code!

Use statistics and data science to uncover both problematic code and the behavioral patterns of the developers who build your software. This combination gives you insights you can't get from the code alone. Use these insights to prioritize refactoring needs, measure their effect, find implicit dependencies between different modules, and automatically create knowledge maps of your system based on actual code contributions.

In a radical, much-needed change from common practice, guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Discover a comprehensive set of practical analysis techniques based on version-control data, where each point is illustrated with a case study from a real-world codebase. Because the techniques are language neutral, you can apply them to your own code no matter what programming language you use. Guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Apply research findings from social psychology to software development, ensuring you get the tools you need to coach your organization towards better code.

If you're an experienced programmer, software architect, or technical manager, you'll get a new perspective that will change how you work with code.

What You Need:

You don't have to install anything to follow along in the book. TThe case studies in the book use well-known open source projects hosted on GitHub. You'll use CodeScene, a free software analysis tool for open source projects, for the case studies. We also discuss alternative tooling options where they exist.

About the author

Adam Tornhill is a programmer who combines degrees in engineering and psychology. He's the founder of Empear, where he designs tools for software analysis. Adam is the author of Your Code as a Crime Scene, Lisp for the Web, and Patterns in C. His other interests include modern history, music, and martial arts.

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