Software testing is a costly endeavor that requires significant investment in terms of labor and resources to mitigate the risk of delivering a product that fails to meet customer expectations. The scarcity of skilled testers and engineers who possess the necessary knowledge and experience in software testing best practices further complicates the process.
This report aims to address the challenges and limitations associated with traditional automated testing tools and explore how AI-driven approaches are revolutionizing the field. We will delve into the application of AI and machine learning in functional, structural, performance, and user-design testing. Additionally, we will examine techniques for automating graphically intensive solutions, including video streaming and gaming applications. By the end of this report, you will have a comprehensive understanding of the diverse applications of AI-driven testing, insights into its current benefits and limitations, and a glimpse into the future of this emerging discipline.
