AI Testing In the span of only a few months, AI has reshaped the landscape of almost every industry around the world in both positive and negative ways. Indeed, there is still a lot of room for improvement in this groundbreaking technology, but if businesses don’t embrace it, they’re sure to be left behind. In the QA industry, “AI testing” will become the norm in the next few years, bringing incredible advancements in the way we think and do software testing. In this article, we’ll explore the concept of AI testing in-depth, see how AI can optimize testing, and share the pioneering AI testing tools that you can leverage to transform your QA workflows. What is AI? Before diving into the concept of AI testing, we must first have a common understanding of Artificial Intelligence (AI). AI has become a buzzword recently after the introduction of ChatGPT – a revolutionizing chatbot. So, what is AI? AI can be defined as the simulation of human intelligence via machines that are programmed to
I am the only tester in my team testing all Android, iOS and web projects. Traditional way to prepare test documentations like test strategy, Test Plan and test cases takes more time. It's not possible for me to keep track all the features I have tested and need to test when I am having a multiple project's release on the same day . Still doing conventional approach of testing, i.e. maintain and execute test cases and mark them as "Pass/Fail". Getting limited time for testing because of maintaining all these test documents. In some releases I have missed lots of scenarios/functionalities to test due to less time for testing and this makes me unhappy after every release. After a long search I came to know the blog about "Mobile Testing Mind Map" in adventuresinqa.com. A mind map technique helped me to design rapid, clear, higher coverage and more efficient test cases using mind map technique. Then, I started using this technique for all the projects.