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

Sahar Tahvili (u. a.)

ISBN 10: 0323919138 / ISBN 13: 9780323919135

Published by Elsevier Inc, 2022

About this Item

Artificial Intelligence Methods for Optimization of the Software Testing Process | With Practical Examples and Exercises | Sahar Tahvili (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Elsevier Inc | EAN 9780323919135 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Seller Inventory # 120921512

Bibliographic Details

• Title: Artificial Intelligence Methods for Optimization of the Software Testing Process | With Practical Examples and Exercises
• Publisher: Elsevier Inc
• Publication Date: 2022
• Language: English
• ISBN 10: 0323919138
• ISBN 13: 9780323919135
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 12D millimeters 229 millimeters width by 152 millimeters height by 12 millimeters depth
• Weight: 318 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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

About the Authors

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.

Leo Hatvani is a Lecturer at Mälardalen University. Leo holds a Licentiate degree in the verification of embedded systems from Mälardalen 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 Mälardalen Industrial Technology Centre (MITC) which cooperates with a number of regional companies to introduce Industry 4.0 practices into Swedish industry.