| Summary: | Software testing is expensive. Through up-front and recurring investment in labor and assets, organizations spend roughly half of their engineering budget on testing activities. The good news is that automated testing efforts have begun to improve through recent advances in AI and machine learning. With this report, you'll learn how AI-driven approaches are helping organizations overcome problems that traditional automated testing tools can't touch. Author Tariq King, chief scientist at test.ai, helps you examine several AI-driven solutions for software testing issues. You'll explore the application of AI and ML to functional, structural performance, and user design testing, and then dive into techniques for automating graphically intensive solutions such as video streaming and gaming applications. You'll learn the current benefits and limitations of AI-driven testing, available applications, and insights into the future of this new and emerging discipline. Learn the challenges and limitations of traditional approaches to software test automation Explore how AI is advancing the state of the art in automated functional, structural, performance, and user design testing in several application domains Examine the costs, benefits, and possible applications of AI-driven testing Look at ways that AI-driven test automation tools will evolve over the next decade
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