Sahar Tahvili, Leo Hatvani

Artificial Intelligence Methods for Optimization of the Software Testing Process

With Practical Examples and Exercises

• Broschiertes Buch

Produktbeschreibung

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

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Produktdetails

• Uncertainty, Computational Techniques, and Decision Intelligence
• Verlag: Academic Press / Elsevier Science & Technology
• Artikelnr. des Verlages: C2021-0-00433-8
• Seitenzahl: 230
• Erscheinungstermin: 26. Juli 2022
• Englisch
• Abmessung: 151mm x 226mm x 19mm
• Gewicht: 390g
• ISBN-13: 9780323919135
• ISBN-10: 0323919138
• Artikelnr.: 63122511

Autorenporträt

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 Mälardalen University. Sahar holds a Ph.D. in Software Engineering from Mälardalen 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.

Inhaltsangabe

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