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Jack the Ripper and legacy codebases have more in common than you'd think. Inspired by forensic psychology methods, you'll learn strategies to predict the future of your codebase, assess refactoring direction, and understand how your team influences the design. With its unique blend of forensic psychology and code analysis, this book arms you with the strategies you need, no matter what programming language you use.
Software is a living entity that's constantly changing. To understand software systems, we need to know where they came from and how they evolved. By mining commit data and analyzing the history of your code, you can start fixes ahead of time to eliminate broken designs, maintenance issues, and team productivity bottlenecks.
In this book, you'll learn forensic psychology techniques to successfully maintain your software. You'll create a geographic profile from your commit data to find hotspots, and apply temporal coupling concepts to uncover hidden relationships between unrelated areas in your code. You'll also measure the effectiveness of your code improvements. You'll learn how to apply these techniques on projects both large and small. For small projects, you'll get new insights into your design and how well the code fits your ideas. For large projects, you'll identify the good and the fragile parts.
Large-scale development is also a social activity, and the team's dynamics influence code quality. That's why this book shows you how to uncover social biases when analyzing the evolution of your system. You'll use commit messages as eyewitness accounts to what is really happening in your code. Finally, you'll put it all together by tracking organizational problems in the code and finding out how to fix them. Come join the hunt for better code!
What You Need:
You need Java 6 and Python 2.7 to run the accompanying analysis tools. You also need Git to follow along with the examples.
- Sales Rank: #227060 in Books
- Published on: 2015-04-09
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .46" w x 7.52" l, .0 pounds
- Binding: Paperback
- 190 pages
About the Author
Adam Tornhill combines degrees in engineering and psychology to get a different perspective on software. He works as an architect and programmer and also writes open-source software in a variety of programming languages. He's the author of the popular book Lisp for the Web and has self-published a book on Patterns in C. Other interests include modern history, music, and martial arts.
Most helpful customer reviews
3 of 3 people found the following review helpful.
A fresh perspective on software quality.
By Nascif Abousalh-Neto
All software projects have one thing in common, regardless of programming language, development methodology or domain: they are all written by people, with quirks of their own. These people are usually organized in teams, adding social interaction dynamics to the mix. But since most of the research available on code quality has been done by programmers, these human factors have rarely been considered - until now.
Adam Tornhill draws from his dual background in psychology and software development to propose innovative techniques that consider how human and social aspects affect code quality and can be monitored with new metrics. The results are both intuitive and surprising - and extremely valuable in understanding the overall quality of a software system.
Adam's ideas are demonstrated by a software versioned control system logs analysis tool - Code Maat - that he graciously made available as open source. Using Code Maat we were able to quickly identify hotspots in our code that demanded close inspection. We found issues that traditional code metrics alone like complexity and code coverage would not have been able to identify, like which modules have been modified by far too many developers, and which ones were decoupled in the design but actually coupled when it came to code changes.
If you care about code quality, don't miss this book. Highly recommended!
2 of 2 people found the following review helpful.
A psychological twist on your codebase!
By Louis Hansen
Adam presents a very different way of looking at your source control. Instead of it merely being the place where you happen to keep your source code, he teaches you how to transform it into a wealth of information about your codebase.
From the simple things like getting a view of the hotspots in your codebase, to more advanced technique that can show you the knowledge distribution between your team, you will learn a ton of useful tips in this book.
While Adam does supply some tools to use along with the techniques in the book, the emphasis has been put on giving you the ability to make use of the information on your own and not enforcing a reliability on any particular 3rd party tool.
I highly recommend this book to any developer who wants to learn more about their codebase. Personally I've used the techniques to both help me get a quick introduction to new codebases, and also to help highlight information that is useful not only to myself, but also to the rest of the development team and management.
2 of 3 people found the following review helpful.
Very handy techniques for analyzing code stored in version control systems.
By Robert Nilsson
Adam presents a whole new perspective on analysing existing code using the information stored in the version control system. With these techniques, you will be much better equipped to asses where to put your effort next time you get your hands dirty in legacy code. The techniques may be applied to newly developed code as well, to make sure it doesn't evolve into a maintenance nightmare.
Hands on examples makes it easy to follow the techniques presented and use it on your own code projects right away.
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