Artificial Intelligence Methods for Optimization of the Software Testing Process: With Practical Examples and Exercises

by Sahar Tahvili, Leo Hatvani

"One of the best new Intelligence Testing books" - BookAuthority

230 pages, Paperback

Published August 9, 2022

About the author

Sahar Tahvili is a researcher at the software testing laboratory at Mälardalen University, who holds a Ph. D. in Software Engineering since 2018. Her doctoral thesis entitled " Multi-Criteria Optimization of System Integration Testing " was named one of the best new Software Integration Testing books by BookAuthority.
Sahar’s research focuses on artificial intelligence (AI), advanced methods for testing complex software-intensive systems, and designing decision support systems (DSS). Previously she worked as a senior researcher at the Research Institutes of Sweden (RISE) with close industrial research collaboration with Bombardier transportation in Sweden.

Reviews

[Theofilos Toronidis · Rating 5 out of 5]

The “Artificial Intelligence Methods for Optimization of the Software Testing Process” is an intelligent and innovative book which analyses with practical examples from the industry, the crucial role of AI in software testing. In addition to that, as a reader, I receive a good input regarding testing frameworks from various parties, such as testers, test managers and troubleshooters. This input is valuable and helps me understand how AI can actually impact, influence and dominate the software testing industry. An excellent AI book and also a rare find!