Test Automation Specialist

When your software is live and it suddenly crashes, it can be both alarming and frustrating. The root cause may not be immediately clear, leaving your users dissatisfied and your team scrambling to find out the reason behind the issue. Even if your app hasn’t gone live yet and you’re still in the testing phase, dealing with a stubborn, recurring bug can be equally challenging. Every developer and tester wants to avoid such scenarios. That’s where automated testing comes in: to identify potential problems before they escalate, to save time, and to keep your releases smooth and reliable. However, choosing the right automated testing tools can be overwhelming. Where do you even start with your research? How do you prioritize what to go for, when, and why? This article introduces 31 popular automated testing tools that solve real-world challenges. Packed with various features, they cater to different types of testing requirements. When integrated into your automation strategy, they become ...

  Agile development has long been the standard for teams seeking to deliver software faster, with higher quality, and in a collaborative environment. However, as software complexity grows and timelines shrink, traditional testing methods often fall short of keeping up with Agile’s pace. Enter AI testing agents — a groundbreaking addition that’s transforming Agile testing and redefining how teams approach quality assurance. By seamlessly integrating into Agile workflows, AI testing agents are accelerating testing processes, enhancing test accuracy, and enabling teams to stay true to Agile principles. This article explores how these agents are reshaping Agile development, empowering teams to deliver better software, faster. The Evolution of Agile Testing Agile testing is not a standalone phase but an integral part of the development process. It aligns with Agile’s iterative and incremental nature, focusing on continuous testing throughout the development lifecycle. Agile te...