How does AI generate test cases?
Hi Dipen,
AI uses algorithms and historical data to analyze requirements, predict edge cases, and automatically create test cases.
Check out the below blog to learn how to generate test cases with AI:
AI tools can automatically generate test cases directly from requirements documents, user stories, or acceptance criteria.
Natural language processing (NLP) algorithms help in extracting critical information from these unstructured documents and translating it into executable test scenarios
AI can generate test cases by leveraging machine learning techniques to understand patterns and behaviors from previous test data.
By training models on past test cases, AI systems can identify potential gaps in coverage, ensuring comprehensive testing. This allows AI to not only generate new test cases but also optimize existing ones.