InfoQ Homepage Debugging Content on InfoQ
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Preparing Entity Framework Core for Static Analysis and Nullable Reference Types
In this article we walk through the process of updating an EF Core 3.1 based DAL to adhere to modern best practices such as TreatWarningsAsErrors, FxCopAnalyzers, and C# 8’s nullable reference types.
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Q&A on the Book Real-World Bug Hunting
The book Real-World Bug Hunting by Peter Yaworski is a field guide to finding software vulnerabilities. It explains what ethical hacking is, explores common vulnerability types, explains how to find them, and provides suggestions for reporting bugs while getting paid for doing so.
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How to Slow Down to Go Faster Than Ever in Software Development
Going fast without control could be the biggest enemy of software development. By slowing down on people, we improve professionalism and craftsmanship. By slowing down on process, we improve adaptation and efficiency. And by slowing down on product, we improve automation and quality. When we focus on these areas, we start to cultivate a development culture enabling software development fast.
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Debugging Distributed Systems: Q&A with the “Squash” Microservice Debugger Creator Idit Levine
InfoQ recently sat down with Idit Levine, CEO of solo.io and creator of the new open source “Squash” microservices debugger, and discussed the challenges of observing and debugging distributed systems and applications.
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Detecting and Analyzing Redundant Code
As software development projects grow in scope, it is very easy for them to add redundant layers of code. By analyzing several large open source projects on GitHub, the author presents his findings as to the amount of redundant code each project has and shares some recommendations as to how all projects can improve their own code management.
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The Future of Serverless Compute
As Serverless approaches end of early-adopter phase, Mike Roberts puts on prediction goggles on where this movement is going next and what changes are needed from organizations in order to support it.
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Q&A with Diomidis Spinellis on Effective Debugging
The book Effective Debugging by Diomidis Spinellis describes 66 different approaches for effective debugging of applications and systems. It provides methods, strategies, techniques, and tools for finding and removing faults, and gives examples for using them in different settings.
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What’s New in iOS 9: Xcode 7 and Other Developer Tools
In the first four installments of this series, we reviewed new and enhanced frameworks included with iOS 9 SD, changes to Swift and Objective-C, and the new Safari content blocking API. In this article, we will describe what is new within Apple Developer Tools, including Xcode Playgrounds, LLDB, UI testing, Interface Builder, etc.
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Yes, Hardware Can Be Agile!
“You can’t do 2-week iterations with hardware!” This is the first thing you’ll hear when talk turns to Agile methods in hardware-software product development. A mix of existing robust hardware development ideas, plus a few newly taken from Agile software are being used now by real teams, even to get around - or through - the challenge of doing fast iterations.
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5 Advanced Java Debugging Techniques Every Developer Should Know About
With architectures becoming more distributed and code more asynchronous, pinpointing and resolving errors in production is harder than ever. In this article we investigate five advanced techniques that can help you get to the root cause of painful bugs in production more quickly, without adding material overhead.
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Hunting Java Concurrency Bugs
Concurrency bugs include race conditions, code reordering, field visibility issues, live locks, deadlocks and performance related bugs, such as contention and starvation. In this article Java Specialist Dr. Heinz Kabutz examines two threading bugs he discovered in the core Java libraries.
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God-Mode in Production Code
Takipi is trying to level out the playing field between dev and prod debugging by making it just as easy to debug Java and Scala code in production as it is on your desktop. It detects errors and exceptions in server code, provides analytics to help prioritize them, and captures the source code and values of variables that caused them.