Artificial Intelligence Methods for Optimization of the Software Testing Process
With Practical Examples and Exercises
Published on 26. July 2022
Book
Paperback/Softback
230 pages
978-0-323-91913-5 (ISBN)
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
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
More details
Series
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
Product notice
Paperback (trade)
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 12 mm
Weight
318 gr
ISBN-13
978-0-323-91913-5 (9780323919135)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Sahar Tahvili | Leo Hatvani
Artificial Intelligence Methods for Optimization of the Software Testing Process
With Practical Examples and Exercises
E-Book
07/2022
Academic Press
€131.00
Available for download
Persons
Sahar Tahvili is an Operations Team Leader in the Product Development Unit, Cloud RAN, Integration, and Test at Ericsson AB, and also a Researcher at Maelardalen University. Sahar holds a Ph.D. in Software Engineering from Maelardalen University. Her doctoral thesis entitled "Multi-Criteria Optimization of System Integration Testing" was named one of the best new Software Integration Testing books by BookAuthority. She earned her B.S and M.S. in Applied Mathematics with an emphasis on optimization. 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 and as a senior data scientist at Ericcson AB. Leo Hatvani is a Lecturer at Maelardalen University. Leo holds a Licentiate degree in the verification of embedded systems from Maelardalen University. His current research focuses on artificial intelligence (AI) and advanced methods for testing complex software-intensive systems. His teaching is focused on improving Industry 4.0 production processes and product development by integrating artificial intelligence, augmented and virtual reality. He is working closely with Maelardalen Industrial Technology Centre (MITC) which cooperates with a number of regional companies to introduce Industry 4.0 practices into Swedish industry.
Content
PART 1 Software testing, artificial intelligence, decision intelligence, and test optimization
1. Introduction
2. Basic software testing concepts
3. Transformation, vectorization, and optimization
4. Decision intelligence and test optimization
5. Application of vectorized test artifacts
6. Benefits, results, and challenges of artificial intelligence
7. Discussion and concluding remarks
PART 2 Practical examples and exercises
8. Environment installation
9. Exercises
Appendix A. Ground truth, data collection, and annotation
1. Introduction
2. Basic software testing concepts
3. Transformation, vectorization, and optimization
4. Decision intelligence and test optimization
5. Application of vectorized test artifacts
6. Benefits, results, and challenges of artificial intelligence
7. Discussion and concluding remarks
PART 2 Practical examples and exercises
8. Environment installation
9. Exercises
Appendix A. Ground truth, data collection, and annotation