International Journal of Scientific Research and Engineering Development

Software testing is a crucial step in software development. It ensures that applications function correctly and meet user requirements. Traditional automated testing tools like Selenium and JUnit are popular but often encounter issues such as fragile test cases and high maintenance costs when applications change frequently. Recently, Artificial Intelligence (AI) has been introduced into software testing to address these challenges. AI-powered testing tools can automatically generate test cases, adjust to changes in the application, and even identify visual differences in user interfaces. This research paper examines how AI tools improve automated software testing compared to traditional methods. A case study approach compares the efficiency, accuracy, and maintenance effort of AI-based testing tools with traditional ones. The study indicates that AI testing can decrease manual effort and enhance flexibility, but it also faces limitations, including higher costs and fewer free tools available. Overall, AI-powered testing has great potential to make software testing smarter, faster, and more reliable in the future.