Cross-browser testing is a vital strategy in the modern world, with its many devices and operating systems, and where browsers interpret HTML, CSS, and JavaScript differently. It allows developers to identify and fix inconsistencies across a multitude of platforms, leading to a more professional and user-friendly end product.
OpenText has released UFT One 2023. This is the latest version of their class-leading test automation tool. We’ve selected our top 3 release highlights.
It’s generally accepted that maintaining a thorough and robust test lab is prohibitively expensive and time-consuming. Well, there is now a simple way to make it much easier and cheaper…
Artificial Intelligence (AI) and Machine Learning (ML) are the talk of the town. The rise of ChatGPT has catapulted these technologies firmly into the mainstream, and you’re increasingly likely to hear them mentioned in everyday conversations at the pub or the gym.
Artificial Intelligence (AI) and Machine Learning (ML) are increasingly used in software testing. These technologies are no longer at the fringes and are a vital part of testing in many organisations. Read on to find out why they are a big deal for software testers. As a professional software tester,
There is a great infographic (below) highlighting recent UFT One case studies. In this article I am going to delve a little bit deeper into the five case studies behind the infographic and look at the benefits you can expect to see when you implement UFT One. UFT One from Micro Focus
In days gone by, every software tester knew about the Micro Focus test tools. Maybe they knew them as the Mercury Tools, the HP tools, or maybe by their product names – LoadRunner, WinRunner, QTP, TestDirector, Quality Center etc.
These days, it’s not so cut and dry.
A quick overview of the tools available.
Micro Focus has released UFT One 2022. This is the latest version of their class-leading test automation tool. We’ve selected our top 4 release highlights. What is UFT One? If you’re looking for a test automation tool, you need to look no further than UFT One. UFT One supports more applications
Artificial Intelligence makes test automation easier, faster, and much more efficient. By using AI-driven test automation, you could see up to a 90% reduction in test times versus manual testing. This number isn’t just plucked from the air. It’s taken from a case study where Roche Diagnostics reduced test execution times
Micro Focus has recently released Model Based Testing, a brand new functional test management platform. Model Based Testing enables collaboration between testers and subject matter experts (SMEs). Model Based Testing uses AI to increase the efficiency of your software testing. It also facilitates cross-functional collaboration and makes software testing much
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