Optimization of Automated Software Testing Using Meta-Heuristic Techniques Hardback
Edited by Manju Khari, Deepti Bala Mishra, Biswaranjan Acharya, Ruben Gonzalez Crespo
Part of the EAI/Springer Innovations in Communication and Computing series
Hardback
Description
This book provides awareness of different evolutionary methods used for automatic generation and optimization of test data in the field of software testing.
While the book highlights on the foundations of software testing techniques, it also focuses on contemporary topics for research and development.
This book covers the automated process of testing in different levels like unit level, integration level, performance level, evaluation of testing strategies, testing in security level, optimizing test cases using various algorithms, and controlling and monitoring the testing process etc.
This book aids young researchers in the field of optimization of automated software testing, provides academics with knowledge on the emerging field of AI in software development, and supports universities, research centers, and industries in new projects using AI in software testing. ?Supports the advancement in the artificial intelligence used in software development;Advances knowledge on artificial intelligence based metaheuristic approach in software testing;Encourages innovation in traditional software testing field using recent artificial intelligence. ·
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:184 pages, 51 Illustrations, color; 13 Illustrations, black and white; X, 184 p. 64 illus., 51 illus
- Publisher:Springer International Publishing AG
- Publication Date:27/09/2022
- Category:
- ISBN:9783031072963
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:184 pages, 51 Illustrations, color; 13 Illustrations, black and white; X, 184 p. 64 illus., 51 illus
- Publisher:Springer International Publishing AG
- Publication Date:27/09/2022
- Category:
- ISBN:9783031072963
