Software Testing Articles & Tutorials: Load Testing, Unit Testing, Functional Testing, Performance Testing, Agile Testing, DevOps
When it outsources software QA, management looks only to cut costs. What it doesn’t understand is the loss of product knowledge that comes with it. In this article, Ann-Sofie Ollikainen explains why test coverage metrics alone cannot replace long-term product understanding.
In this article, Tanvi Mittal explains how to exploit production logs to detect issues that were not covered by pre-release test suites.
Frontend teams rarely think about visual assets as a potential problem for testing. Icons, logos, SVG files, and UI components seem like something secondary to the product’s functionality. But it’s these little things that often cause visual bugs that pop up after the release.
Every digital product reaches a point where “it works on my machine” is no longer enough. A web app has to behave correctly across browsers, a mobile app has to feel smooth on different devices, an API has to stay predictable under real use, and a streaming platform has to deliver content without strange playback issues.
Nothing is worse than a test suite that passes locally, but crashes the app as soon as it is opened by users in Tokyo. There’s nothing like the feeling of being deployed. With the rapid pace of modern web development, it’s no longer an option to have a web application that performs flawlessly in one region and another.
There’s a stubborn idea in healthcare that keeps breaking products: shrink the adult device, soften the UI, and call it pediatric. It is how you get alarm floods in NICUs, sensors that slide off wiggly hands, and apps that scare kids while confusing parents. If you are building for children, testing can’t be a checkbox at the end. It has to be the way you design from day one.
As distributed systems are too complex for deterministic testing, AI can help. In this article, Naveen Prakash proposes an approach based on the ideas of chaos engineering and AI-assisted testing. The focus shifts from testing individual pieces to understanding what happens when many services run together under unpredictable conditions.
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