In our current speedy digital environment, software programs play a crucial function in our everyday lives. Ranging from mobile apps to web-based platforms, software programs have developed into an integral part of how we work, communicate, and entertain ourselves. Nevertheless, with the expanding complexity of software program techniques, making certain their high quality and reliability has developed into a big challenge for developers and Quality Assurance (QA) teams. This is where Artificial Intelligence (AI) in software testing has emerged as a disruptive, changing the best way software program testing is carried out.
Traditional Challenges in Software Testing
Software testing has traditionally been a labor-intensive and time-consuming process. QA teams have relied on manual testing techniques, which involve executing test cases one by one and verifying the application's behavior against expected results. This approach is tedious and prone to human errors that lead to possible defects being missed or overlooked.