Software Testing Articles & Tutorials: Load Testing, Unit Testing, Functional Testing, Performance Testing, Agile Testing, DevOps
A fully green traceability matrix can make it look as though requirements are properly covered. Yet a link between a requirement and a test does not prove that the test actually verifies every required behavior. Requirements coverage gaps can remain when tests are incomplete, when a requirement evolves without its tests following, or when a test changes while its traceability link remains intact. This article proposes a simple way to detect them: first understand how they arise, then structure the review by comparing explicitly required behaviors with what the linked tests actually demonstrate.
The issue of duplicate requests is something that tends to remain hidden in standard QA procedures and emerges only during actual network operations. A customer makes two clicks on a payment button, a connection breaks off when the server has already handled the request, a browser sends the request again, or a client-side library makes a duplicate of the failed request.
Network security is usually implemented as configuration but experienced as behavior. A firewall rule, segmentation policy, VPN setting, routing table, identity condition, and intrusion-prevention control can all be individually correct while the resulting system still allows an unintended path.
Credit card apps handle information that criminals can actively target, from personal data to transaction histories. Thankfully, security and privacy testing help to find gaps before they can be exploited. Let’s look at exactly how these apps protect your data.
There is a particular kind of risk that emerges when a SaaS environment becomes familiar. The dashboards look healthy. Authentication works. Backups run. Nothing is triggering an alert, and nobody has noticed anything suspicious. But familiarity has its own weakness; people stop looking closely at things they believe they understand.
Today, you can find tools that generate code and AI-assisted test automation tools that will handle the quality assurance part. Is it the death of traditional manual testing? In this article, Rimpal Mistry reminds us that human validation is still needed to provide the final check of delivered software.
In software development, risk isn’t just for project managers. It’s a daily reality for quality assurance (QA) and compliance teams too. While one team looks for bugs and performance issues, the other makes sure the product follows legal and industry rules. Often, these two groups work separately, only connecting when a problem forces them to.
