AI Driven Testing refers to the use of artificial intelligence and machine learning techniques to enhance test automation, optimize test cases, and improve software quality by identifying and predicting defects.
How does AI improve test automation?
AI improves test automation by analyzing large sets of test data, identifying patterns, and predicting potential failures, making testing more efficient and accurate.
What are self-healing tests in AI Driven Testing?
Self-healing tests use AI to automatically adapt to changes in the software under test, reducing the need for manual test maintenance.
What are the benefits of AI Driven Testing?
Benefits of AI Driven Testing include faster test execution, improved accuracy, reduced manual effort, and the ability to scale testing efforts for complex systems.