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

by Sahar Tahvili

Artificial Intelligence Methods for Optimization of the Software Testing 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

Presents one of the first empirical studies in the field, contrasting theoretical assumptions on innovations in a real industrial environment with a large set of use cases from developed and developing testing processes at various large industries Explores specific comparative methodologies, focusing on developed and developing AI-based solutions Serves as a guideline for conducting industrial research in the artificial intelligence and software testing domain Explains all proposed solutions through real industrial case studies

213 pages, Kindle Edition

Published July 21, 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!