Six Underappreciated Challenges Hindering the Adoption and Effectiveness of Fuzz Testing. When discussing fuzz testing, conversations often focus on the differences and advantages of various fuzzing engines, such as libFuzzer and AFL++. While these aspects are important, several frequently overlooked challenges significantly hinder the adoption of fuzz testing. 1️⃣ Selecting the Best Candidates to Fuzz: Especially in a large codebase, deciding which functions or APIs to test is crucial. Ideally, you start with a small set of public APIs that maximize fuzzing impact, such as code coverage and the number of bugs found. 2️⃣ Writing Realistic Fuzz Tests: Like unit tests, fuzz tests should respect the API contract and include necessary initialization and cleanup code. Incorrect API use can lead to false positives. 3️⃣ Maintaining Existing Fuzz Tests: As your code evolves, you should update your fuzz tests and keep them in sync with the code they test. 4️⃣ Ensuring High-Quality Fuzz Tests: High-quality fuzz tests achieve good code coverage by testing various ways an API is expected to be used. This increases the possibility of reaching good code coverage and consequently triggering more bugs. 5️⃣ Promptly Fixing Found Issues: When you start fuzzing a new project, there will be an initial burst of bugs. Often, these represent fuzzing blockers as the fuzzer will hit them over and over again, preventing it from further exploring your code. Generally, the faster you can fix bugs, the more effective the subsequent fuzzing runs become. 6️⃣ Integration into Developer Workflows: Seamlessly incorporating fuzz testing into CI/CD pipelines is key to continuous testing and quick feedback cycles, ensuring that fuzz testing is a routine part of development. By addressing these scalability challenges, you can unlock the full potential of fuzz testing and achieve its significant benefits. #fuzzing #softwaretesting #softwaresecurity
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SOLID Principles - Dependency Inversion 🚀 Dive into my latest blog post where I simplify SOLID principles in test automation, focusing on Dependency Inversion. From puns to practical examples, this blog helps you easily understand a complex topic. Join me in unlocking the secrets of SOLID principles and building robust, scalable frameworks. https://lnkd.in/ghGw8Fad #TestAutomation #SOLIDPrinciples #QAArchitect #SDET #SoftwareTesting #LinkedInBlog #qacommunity #learnsomethingnew #dependencyinversion #designpatterns #qatesting #softwareqa
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I found myself in an interesting debate about importance of End To End testing. This inspired me to share my perspective in this article. https://lnkd.in/d9Hw95nT
Why Your Project Needs a Dedicated End To End Test Setup
medium.com
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Testing is a skill. You can’t expect to just start adding tests on your codebase and have quality. What you’ll have instead is more code that you have to support. So, to master this skill, learn: - Your testing framework - How to test behavior, not implementation - TDD Only then automated tests won’t be a burden but a benefit. #TestDrivenDevelopment #SoftwareEngineering
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Testing allows us to make sure our code works, but just as important, it enables "fearless refactoring". Have you ever heard a colleague say "It works, don't touch it"? That's because they fear regression bugs. In case you didn't already know, these are bugs that can occur when a piece of code that was working stops working. In this case, it may be that a refactoring introduced a regression, and without tests you'd only become aware of it in production, if ever. Having a sturdy suite of tests can protect us against regressions and allows us to refactor without fear that our code will break. That's one of the reasons testing is so important.
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When writing maintainable test scripts, I focus on ensuring long-term efficiency in automated testing. I keep my test scripts modular and organized, breaking down complex tests into smaller, reusable components. I use descriptive naming conventions for test cases and methods to make it easier for others to understand and modify them. Additionally, I implement proper error handling to manage unexpected issues gracefully and regularly refactor code to eliminate redundancies and improve readability. By following these practices, I reduce technical debt and make future updates smoother and less time-consuming.
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Tired of wracking your brain over endless combinations and edge cases for your unit tests? 😩 Say goodbye to that headache and hello to effortless testing with a groundbreaking solution: fast-check. Discover how to streamline your testing process and save valuable time and resources! 🚀 https://lnkd.in/dSpUTiJs #SoftwareDevelopment #Testing #QualityAssurance #SoftwareEngineering #QAAutomation #TestAutomation #FastCheck #PropertyBasedTesting #FuzzTesting #UnitTests #IntegrationTests
Fast-Check: A Comprehensive Guide to Property-Based Testing
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🔹 Testing Your Code: Key to Reliable Solutions! 🔹 Code that works today might break tomorrow, so building a habit of testing is essential! Testing verifies that each function does exactly what it's supposed to, ensuring quality and reliability over time. Use unit tests for small chunks, integration tests for workflow checks, and automate where possible to catch issues early. Remember, testing isn’t just an afterthought—it’s a critical step in delivering code you can trust! 🔍 #CodeTesting #DataEngineering #QualityAssurance #CodingTips
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"If we focus too heavily on the technical aspects, we could end up with code that's difficult to maintain and understand." 💡 Time to rethink how we approach testing! We shouldn't let our tests become a maze of technical debt. In my latest article, I challenge the traditional approach to writing and thinking about software tests. Let's stop obsessing over technical implementation and break free from prioritizing technology over human readability – a trap many of us fall into. Let's turn the script upside down! "The primary barrier to improving our testing skills is in the predominant mindset: focusing on technology." If you're thinking BDD is the answer, think again. Even BDD tests can be overly technical - they need a human touch. It's not about technology, it's about understanding. 🎯 Key takeaways from the article: - Test readability is not just a nice-to-have; it's everything - Human-readable tests can be both maintainable AND automated - Visual representations can transform complex test scenarios into easily understood patterns "This isn't user-facing code that needs to handle any unpredictable input; it's code that only needs to satisfy what we write in the test." Want to write tests that your future self (and colleagues) will thank you for? 🤝 This article is a must-read for any developer or QA engineer looking to level up their testing game. Ready to make your tests more human? Check out the full article here: https://lnkd.in/dp6F3tSg "Making tests more readable doesn't have to be complicated." #SoftwareTesting #CodeQuality #DeveloperProductivity #QA #SoftwareDevelopment #TDD #TestAutomation #CleanCode
Improve Your Testing #15: Make Tests Human
drpicox.medium.com
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TDD after the code is written is not realizing the full potential of TDD. Writing tests first and especially baked in refactoring step result in cleaner, modular and more maintainable code with smaller functions following SRP principle. Smaller functions are easier to test. As a result, the technical debt accumulation is diminished for the new code. Code readability is increased. These are big wins from code maintenance perspective.
I'm gonna keep saying it 'til it sticks. TDD does not mean you automate your tests. TDD means your development is DRIVEN by tests. You write a test, it fails, that drives you to write code to make it pass. Test automation is AWESOME. Do it! But know what you're doing and where you stand with your tech practices. *climbs off soap box* #TDD #WordsMatter
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Yes - you write an executable specification of the outcome you want and the programming interface. Then you write code that meets that spec. You would think TDD would be not controversial - write outcome spec, design api, implement code
I'm gonna keep saying it 'til it sticks. TDD does not mean you automate your tests. TDD means your development is DRIVEN by tests. You write a test, it fails, that drives you to write code to make it pass. Test automation is AWESOME. Do it! But know what you're doing and where you stand with your tech practices. *climbs off soap box* #TDD #WordsMatter
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