Autonomous Software Testing: Futuristic Approach with AI and ML
Autonomous software testing is a new approach to software testing that uses artificial intelligence (AI) and machine learning (ML) to automate the testing process. It is helping companies deal with complex software development processes and speed up the testing process. Autonomous software testing is a promising technology that has huge potential to significantly improve the speed, quality, and cost-effectiveness of software testing.
By adopting autonomous software testing, quality engineers and testers can focus more on designing strategic tests and analyzing the outcomes. However, it is still a relatively new technology and some challenges need to be addressed before it can be widely adopted. This exclusive white paper highlights the stages of the adoption of autonomous software testing, challenges in its adoption, and best practices for implementing AI/ML in it.
You can also watch this webinar on How AI is shaping the future of testing by the author of this white paper for more information.