Tag: Application Coverage

Generative AI is a rapidly growing field with the potential to revolutionize software testing. By using AI to generate test cases, testers can automate much of the manual testing process, freeing up time to focus on more complex tasks. One of the leading providers of generative AI for software QA is Appvance. Appvance’s platform uses machine learning to analyze code and generate test cases that are tailored to the specific application being tested. This allows testers to quickly and easily create a comprehensive test suite that covers all aspects of the application. In addition to generating test cases, Appvance’s platform

For the better part of 20 years, the e-commerce QA test industry has known that every one-second delay in response, they can lose up to half the page audience. Not because the user bought somewhere else, but because they became distracted. Today’s distractions are probably much higher than they were when those original studies were done 20 years ago. Even on your computer, you can easily get distracted waiting for the screen to fully load, when you get an important email, and you forget about what you were going to buy. This is also true on mobile. In fact, it’s

The cost of underperformance in delivering quality software is steep. In addition to interrupted in-app experiences, bugs often contribute to high rates of customer churn and can lead to a damaged brand image. Users expect highly functioning apps with no bugs or issues, and apps that don’t provide these qualities are quickly deemed irrelevant and often fall forgotten. As such, software testing has become increasingly important in the rollout process. Since software testing can be a bottleneck in organizations striving for rapid release cycles, teams must have some objective measures to know when they have tested enough in order to

Every day I hear the same question: “how can I improve my coverage with little effort?” Of course, this is a loaded question. What coverage do you mean? There might be (at least) four ways to think about coverage: In the past we defined them this way: So that brings us to modern testing which has made use of AI generated scripts now for a few years (no recording/scripting/writing – meaning fully machine generated.) And the new question is: “How do we know we are achieving the desired coverage with AI generated scripts” Again, we have to go back to