InfoQ Homepage Debugging Content on InfoQ
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How to Make the Most of Code Analysis?
Patrick Smacchia shares code analysis-related practices - structuring code, measuring code quality, automated tests, code contracts, reporting progress, trending- based on his experience with NDepend.
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Programming, Only Better
Bodil Stokke keynotes on the FP languages for writing bug free, fault tolerant code that help building simple, concurrent and reusable software.
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Scale Effects and other Stories
Crista Lopes discusses if scale affects the internal structure of projects and whether the popularity of libraries is correlated with internal software metrics such as bug density.
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Advanced Front-end Debugging
Panos Astithas presents some of the debugging, profiling and tracing tools available to web developers today.
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Code Execution as Data
Zach Tellman discusses instrumenting and analyzing running systems using real world examples from Factual's production systems.
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Pontificating Quantification
Daniel Spiewak and Aaron Bedra take a look at code verifying starting with Tony Hoare’s paper on testing(1969), type theory, and language-integrated proof systems.
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Firefox Developer Tools
Joe Walker covers present and future Firefox development tools for editing, inspection, history and control.
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Distributed Apps: The Joys of Testing and Debugging
Chris Houser discusses stack traces in Clojure and introduces a library for investigating activity across multiple threads and servers, plus a technique for reproducing race conditions.
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And It All Went Horribly Wrong: Debugging Production Systems
Bryan Cantrill discusses debugging production systems using post-mortem debugging and dynamic instrumentation, with a bit of history and an introduction to useful debugging tools.
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Effective Use of FindBugs in Large Software Development Efforts
William Pugh explains how to use FindBugs, a Java static code analysis tool, to discover bugs. The talk covers general issues regarding code bugs with advice on how to make sure you get rid of them.
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Software Quality - You Know It When You See It
Erik Dörnenburg shares techniques for estimating code quality by collecting and analyzing data using the toxicity chart, metrics tree maps, size&complexity pyramid, complexity view, code city, etc.
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Software Naturalism - Embracing the Real Behind the Ideal
Michael Feathers analyzes real code bases concluding that code is not nearly as beautiful as designers aspire to, discussing the everyday decisions that alter the code bit by bit.