Test automation has transformed significantly over the years. It has helped QA teams reduce the chances of human error to a great extent. There are plenty of tools available for test automation, but identifying the right automation testing tool has always been a priority for an automation testing plan to be a success. Artificial Intelligence, machine learning, and neural networks are the trending topics of discussion in the tech world today. And, AI inevitably makes its place even in the automation testing space. The use of AI testing tools has taken over the burden of handling repetitive tasks, saving hours of work so that the team can utilize its time for performing more complex and critical tasks. It has played a prominent role in catering to the rising need to develop swiftly and smartly. Even though the current practices of continuous testing, DevOps, and Agile have kept the software development process in place, introducing AI has subtly unlocked the true potential of software testing and driven a path to Continuous Test Automation.
What Is AI Automation Testing?
AI, in simple terms, is the ability of a computer program or a computer to think and learn like a human being, i.e., the capability of a machine to reason itself — learn, modify data and use it in a beneficial way to handle any future scenarios. It applies reasoning and problem solving to automate the testing process.