In this Article
AI-based testing uses AI to create and run testing as well as produce the results.
AI can help bring improved test coverage due to the generation of a variety of test cases and the detection of possible problems that manual screening would not have spotted.
The difficulties border on how to put AI into a current framework, how to familiarize teams with new technologies, and how to make the structure erection and expenses of an AI tool quite maze-like and pricey.
