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Author Profile Information - Justyna Kecik

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QA Reporting & Automation Expert in aqua
On the Web
About the author

Justina's expertise in QA reporting and automation makes her a vital force behind data-driven quality assurance at aqua. As a specialist, Justyna has played a key role in designing scalable automation frameworks and insightful reporting systems that empower aqua's Customers to track, measure, and optimize testing outcomes with precision. Justyna's analytical approach and technical acumen ensure that even the most complex QA challenges are translated into actionable automated solutions.

Articles on the site
What is AI Shift-Left Testing: Transforming Quality Assurance
Testing has always been a critical component of software development, but where and when it happens has evolved dramatically. If you're working in QA, you've probably noticed the industry moving away from the "test everything at the end" approach. That's because it just doesn't cut it anymore. Today, QA demands more efficient approaches, and that's where shift-left testing with AI enters the picture. In this guide, weā€™ll explain how this concept helps you detect bugs, improve code quality, and speed up release cycles much faster compared to the traditional shift-left testing approach.
29 July 2025
AI for Accessibility Testing: Revolutionising Digital Inclusion
Accessibility has long been treated like an afterthought. QA teams have seen it as something to scramble to fix before launch or patch up later for compliance. But for millions of users, it's the difference between being able to use a product or being locked out entirely. The problem is, traditional accessibility testing is slow, manual, and often misses the edge cases that really matter. And the solution, as in many modern QA pain points, is AI. Instead of just flagging issues, AI-powered tools can do much more. Letā€™s dive into methods and approaches to not take accessibility testing as a checkbox, but as a core part of building usable digital products.
22 July 2025
Master Happy Path Testing: 7 Best Practices for Success
Ever tried to make a purchase online, only to find the checkout button doesn't work? Or filled out an entire form only for the submit button to do... nothing? These frustrating experiences happen when the most basic user flows are missed. We call them "happy path." It might sound basic, but happy path testing is actually a critical first step in software quality assurance. Just because it follows a straightforward approach does not mean it should be taken lightly. In this article, we will explain why you should not ignore happy path testing and how to carry it out excellently.
27 June 2025
Monkey Testing vs Gorilla Testing: Key Differences and Applications
Your app just crashed. Again. The demo starts in five minutes, your client is already dialing in, and that "small bug" you thought you fixed last week just reared its ugly head. Sound familiar? Here's the thing: traditional testing methods often miss the chaos of real-world usage. Users don't follow your carefully planned test cases: they click randomly, spam buttons, and somehow always find the one scenario you never considered. That's where two unconventional testing approaches, monkey and gorilla testing, come to the rescue. But here's what most teams get wrong: they think these methods are interchangeable. They're not. So, which testing "animal" should you unleash on your next release?
12 June 2025
Flaky Tests: Full Understanding and Managing
There's nothing quite like the frustration of a flaky test that passes on Monday, fails on Tuesday, and passes again on Wednesday, without any code changes. If you're in test automation, you know this headache all too well. These infamous "flaky tests" can turn a smooth release into a debugging nightmare faster than you can say "it worked on my machine." In this article, we're diving into the world of flaky tests. Not just what they are, but how to catch them, fix them, and ideally, prevent them from sneaking into your codebase in the first place.
03 June 2025