The use of AI in software testing can enhance the understanding of software quality, leading to improved user experiences and more reliable software.
In traditional software testing, testers typically create scripts that follow an ideal user journey, often referred to as the “happy path,” which includes essential actions within an application. However, to adopt a more systematic testing approach, teams are now adopting a digital twin methodology. This approach shifts the focus from defining individual test cases to describing the system as a whole. By leveraging AI, teams can gain a comprehensive understanding of the software and its behavior, allowing for a more effective and holistic testing process.
