Are you dealing with a codebase where expense overruns, death marches, and brave battles with tradition code beasts are the norm? Fight these adversaries with unique ways to recognize and focus on technical debt, based on behavioral data from how developers work with code. Which’s just for starters. Because great code involves social design, along with technical design, you can discover surprising dependencies in between people and code to fix coordination bottlenecks among groups. Most importantly, the techniques build on behavioral data that you already have: your version-control system. Sign up with the fight for much better code! Use data and data science to uncover both bothersome code and the behavioral patterns of the designers who construct your software application. This combination provides you insights you can’t get from the code alone. Utilize these insights to focus on refactoring needs, measure their result, find implicit reliances in between various modules, and immediately develop knowledge maps of your system based on actual code contributions. In a radical, much-needed change from common practice, guide organizational choices with unbiased data by measuring how well your development groups align with the software application architecture. Discover a comprehensive set of practical analysis methods based on version-control data, where each point is shown with a case study from a real-world codebase. Because the techniques are language neutral, you can use them to your own code no matter what shows language you utilize. Guide organizational choices with objective data by measuring how well your development teams line up with the software application architecture. Apply research study findings from social psychology to software application advancement, ensuring you get the tools you require to coach your organization towards better code. If you’re a skilled programmer, software designer, or technical supervisor, you’ll get a new perspective that will change how you deal with code. What You Need: You do not have to install anything to follow along in the book. TThe case studies in the book use well-known open source jobs hosted on GitHub. You’ll utilize CodeScene, a totally free software application analysis tool for open source jobs, for the case studies. We also talk about alternative tooling options where they exist.
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