InfoQ Homepage Code Quality Content on InfoQ
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Write Code for the Future You
Paul Gower discusses what it means to improve the quality of the code and offers practical advice towards improving it every day.
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Can't We Just Agree Quality Is Good?
Torbjörn Gyllebring considers that software development needs a better understanding about the dynamics and economic implications of deliberate, thoughtful contextualization of quality.
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A Crystal Ball to Prioritize Technical Debt
Adam Tornhill offers an overview of techniques that help uncover both problematic code and the social dimension of the teams that build software. He illustrates each point with a case study.
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Refactoring Mount Doom - Tackling Legacy Code
Franziska Sauerwein discusses how to refactor code for the right reasons and the right methods to use for time efficiently.
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Strategic Code Deletion
Michael Feathers describes techniques that generate more certainty around assessments of feature liveness, and strategies that can be used to remove code that does not have high value
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Reaching Production Faster with Containers in Testing
David Xia explains how Helios testing framework drives integration tests and spins up self-contained environments during test runs, increasing Spotify’s code quality and successful deployments.
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Safe Systems Programming in C# and .NET
Joe Duffy shares some of his key experiences from building an entire operating system in a C# dialect and dealing with errors and concurrency robustly, focusing on open source C# and .NET.
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Code Quality in Practice
Bryan Helmkamp discusses insights from analyzing over 1T LoC daily, what makes a code metric valuable, when unmaintainable code may be preferable, and what prevents maintaining quality code over time.
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An Introduction to Property Based Testing
Aaron Bedra focuses on describing a system as a series of models that can be used to systematically and automatically generate input data and ensure that a code is behaving as expected.
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Why Building the Right Thing Means Building the Thing Right
Liz Keogh takes a look at why experimentation underpins everything done in technology, and why it is necessary to be able to move and change the right thing.
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Kill the Mutants - A Better Way to Test Your Tests
Roy van Rijn explains what mutation testing is and how it works, comparing several Java frameworks (PIT, Jester, Jumble) that enable automatic mutation testing in a continuous build.
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Introduction to Java Profiling
Jerry Yoakum discusses how code profiling tools and techniques can be used to evaluate code for constructions and errors that are likely to cause problems, highlight places in need of refactoring.