Téléchargez le livre : Optimization of Automated Software Testing Using Meta-Heuristic Techniques

Optimization of Automated Software Testing Using Meta-Heuristic Techniques

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Springer


Paru le : 2022-09-26

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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.



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Pages
184 pages
Collection
n.c
Parution
2022-09-26
Marque
Springer
EAN papier
9783031072963
EAN PDF
9783031072970
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
6810 Ko
Prix
94,94 €
EAN EPUB
9783031072970
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
15729 Ko
Prix
94,94 €

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