Tahvili S., Hatvani L. Artificial Intelligence Methods for Optimization of the Software Testing Process: With Practical Examples and Exercises

New York: Academic Press, 2022. — 232 p.Artificial Intelligence Methods for Optimization of the Software Testing Process: With Practical Examples and Exercises presents different AI-based solutions for overcoming the uncertainty found in many initial testing problems. The concept of intelligent decision-making is presented as a multi-criteria, multi-objective undertaking. The book provides guidelines on how to manage diverse types of uncertainty with intelligent decision-making that can help subject matter experts in many industries improve various processes more efficiently.As the number of required test cases for testing a product can be large (in the industry more than 10,000 test cases are usually created). Executing all these test cases without any particular order can impact the results of the test execution, hence this book fills the need for a comprehensive resource on the topics of the how's, what's, and whys.