Optimization of Automated Software Testing Using Meta-Heuristic Techniques - EAI / Springer Innovations in Communication and Computing - - 書籍 - Springer International Publishing AG - 9783031072963 - 2022年9月27日
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Optimization of Automated Software Testing Using Meta-Heuristic Techniques - EAI / Springer Innovations in Communication and Computing 2022 edition

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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. *

184 pages, 51 Illustrations, color; 13 Illustrations, black and white; X, 184 p. 64 illus., 51 illus

メディア 書籍     Hardcover Book   (ハードカバー付きの本)
リリース済み 2022年9月27日
ISBN13 9783031072963
出版社 Springer International Publishing AG
ページ数 184
寸法 150 × 220 × 20 mm   ·   465 g
言語 ドイツ語  
編集者 Acharya, Biswaranjan
編集者 Gonzalez Crespo, Ruben
編集者 Khari, Manju
編集者 Mishra, Deepti Bala

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