Imagine a food delivery application with a feature for scheduling orders, but this functionality fails during peak user traffic. Executing performance testing with simulated peak traffic can prevent such failures and improve the user experience.
As software systems are updated and new bugs are created, previously functioning features may stop working as intended.
In the software testing process, quality assurance (QA) and quality control (QC) are closely related and complement each other to ensure product quality. QA prevents defects through process improvements, while QC ensures that bugs are detected and fixed in the final product.
Manual testing is a type of software testing that involves testers executing test cases step-by-step, observing results firsthand, without relying on scripts or automated tools.
Software’s nature is complex and disparate, and there isn’t a one-size-fits-all way of locating faults. Different testing levels are done to catch bugs and render a hassle-free user experience. Some of the most basic yet essential tests include unit and system tests, each one of them crucial to the creation of software.
As the SaaS and other IT-related markets grow and become more ingrained in the daily operations of businesses and enterprises and the lives of users, the notion of quality becomes even more critical.
25% to 35% of a software testing team’s time is spent on writing and maintaining test cases. Yet, poorly written or incomplete test cases can lead to missed defects, inefficient testing, and costly rework.
Suppose you launch a new app after months of development and find out users complaining about crashes and slow performance. This is every software team’s nightmare in 2025, and exactly what quality assurance (QA) testing is used for.
Suppose you’re testing a login page, and of course, you enter the correct username and password, and everything works fine. But what if you use special characters, an excessively long password, or leave fields blank? Will the system crash or expose sensitive data?