{"title":"Adam Tornhill","description":"\u003cp\u003eDelve into the world of behavioural code analysis with Adam Tornhill. Discover data-driven insights to improve your software development and team dynamics. Explore his practical guides today!\u003c\/p\u003e","products":[{"product_id":"software-design-x-rays-book-adam-tornhill-9781680502725","title":"Software Design X-Rays","description":"\u003cp\u003eAre 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 \u003c\/p\u003e \u003cp\u003eUse 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.\u003c\/p\u003e \u003cp\u003eIn 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.\u003c\/p\u003e \u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eIf you're an experienced programmer, software architect, or technical manager, you'll get a new perspective that will change how you work with code.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Need: \u003c\/b\u003e\u003c\/p\u003eYou 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. 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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.\u003cbr\u003e\u003cbr\u003eSoftware 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. \u003cbr\u003e\u003cbr\u003eIn 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.\u003cbr\u003e\u003cbr\u003eLarge-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. 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Visualize codebases via a geographic profile from commit data to find development hotspots, prioritize technical debt, and uncover hidden dependencies. Get data and develop strategies to make the business case for larger refactorings. Detect and fix organizational problems from the vantage point of the software architecture to remove bottlenecks for the teams.\u003c\/p\u003e \u003cp\u003eThe original \u003ci\u003eYour Code as a Crime Scene\u003c\/i\u003e from 2014 pioneered techniques for understanding the intersection of people and code. This new edition reflects a decade of additional experience from hundreds of projects. Updated techniques, novel case studies, and extensive new material adds to the strengths of this cult classic.\u003c\/p\u003e \u003cp\u003eChange how you view software development and join the hunt for better code!\u003c\/p\u003e \u003cp\u003e\u003cb\u003eWhat You Need:\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eYou need to be comfortable reading code. 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