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Optimization of Automated Software Testing Using Meta-Heuristic Techniques (Hardcover, 1st ed. 2022) Loot Price: R2,929
Discovery Miles 29 290
Optimization of Automated Software Testing Using Meta-Heuristic Techniques (Hardcover, 1st ed. 2022): Manju Khari, Deepti Bala...

Optimization of Automated Software Testing Using Meta-Heuristic Techniques (Hardcover, 1st ed. 2022)

Manju Khari, Deepti Bala Mishra, Biswa Ranjan Acharya, Ruben Gonzalez Crespo

Series: EAI/Springer Innovations in Communication and Computing

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Loot Price R2,929 Discovery Miles 29 290 | Repayment Terms: R274 pm x 12*

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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. *

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: EAI/Springer Innovations in Communication and Computing
Release date: September 2022
First published: 2022
Editors: Manju Khari • Deepti Bala Mishra • Biswa Ranjan Acharya • Ruben Gonzalez Crespo
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 184
Edition: 1st ed. 2022
ISBN-13: 978-3-03-107296-3
Categories: Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-03-107296-0
Barcode: 9783031072963

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