Binding: Paperback
Description: 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 in a more efficient way. As the number of required test cases for testing a product can be large (in 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 on the how's what's and whys. To learn more about Elsevier's Series Uncertainty Computational Techniques and Decision Intelligence please visit this link: https://www. elsevier. com/books - and - journals/book - series/uncertainty - computational - techniques - and - decision - intelligence
Title: Artificial Intelligence Methods For Optimization Of The Software Testing Process With Practical Examples And Exercises
Author(s): Hatvani Leo (Lecturer Malardalen University Vasteras Sweden)
Publisher: Elsevier Science & Technology
Barcode: 9780323919135
Pages: 230 Pages
Publication Date: 7/26/2022
Series: Uncertainty, Computational Techniques, and Decision Intelligence
Category: Artificial Intelligence