English | 2022 | ISBN: 3031072960 | 310 Pages | PDF EPUB (True) | 19 MB
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 strats, 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 acads with knowledge on the emeg field of AI in software development, and supports universities, research centers, and industries in new projects using AI in software testing.
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