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Optimization of Automated Software Testing Using Meta-heuristic Techniques, H...

Description: Optimization of Automated Software Testing Using Meta-heuristic Techniques, Hardcover by Khari, Manju (EDT); Mishra, Deepti Bala (EDT); Acharya, Biswa Ranjan (EDT); Crespo, Ruben Gonzalez (EDT), ISBN 3031072960, ISBN-13 9783031072963, Like New Used, Free shipping in the US This book provides awareness of different evolutionary methods used for automatic generation and optimization of test data in the field of software testing. While th 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. ยทย 

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Location: Jessup, Maryland

End Time: 2024-11-21T13:15:55.000Z

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Optimization of Automated Software Testing Using Meta-heuristic Techniques, H...

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Book Title: Optimization of Automated Software Testing Using Meta-heuristic T

Number of Pages: X, 184 Pages

Language: English

Publication Name: Optimization of Automated Software Testing Using Meta-Heuristic Techniques

Publisher: Springer International Publishing A&G

Publication Year: 2022

Subject: Engineering (General), Intelligence (Ai) & Semantics, General, Databases / Data Mining

Type: Textbook

Item Weight: 16.4 Oz

Author: Deepti Bala Mishra

Subject Area: Mathematics, Computers, Technology & Engineering

Item Length: 9.3 in

Series: Eai/Springer Innovations in Communication and Computing Ser.

Item Width: 6.1 in

Format: Hardcover

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