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035   $a(CKB)24950527900041
035   $a(DE-He213)978-3-031-07297-0
035   $a(PPN)264957822
035   $a(EXLCZ)9924950527900041
100   $a20220926d2022      u|         0
101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aOptimization of Automated Software Testing Using Meta-Heuristic Techniques /$fedited by Manju Khari, Deepti Bala Mishra, Biswaranjan Acharya, Ruben Gonzalez Crespo
205   $a1st ed. 2022.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022.
215   $a1 online resource (189 pages)
225 1 $aEAI/Springer Innovations in Communication and Computing,$x2522-8609
311 08$aPrint version: Khari, Manju Optimization of Automated Software Testing Using Meta-Heuristic Techniques Cham : Springer International Publishing AG,c2022 9783031072963 
320   $aIncludes bibliographical references and index.
327   $aIntroduction -- Testing Fundamentals -- Strategies and Methods For Test Cases -- Automated Testing Levels -- Polices and Plans for Testing -- Test Organization -- Controlling and Monitoring Testing Process -- Evaluating Automated Software Quality -- Defect Analysis and Prevention -- Optimization -- Security Testing -- Conclusion.
330   $aThis book provides awareness of different evolutionary methods used for automatic generation and optimization of test data in the field of software testing. While the book highlights on the foundations of software testing techniques, it also focuses on contemporary topics for research and development. This book covers the automated process of testing in different levels like unit level, integration level, performance level, evaluation of testing strategies, testing in security level, optimizing test cases using various algorithms, and controlling and monitoring the testing process etc. This book aids young researchers in the field of optimization of automated software testing, provides academics with knowledge on the emerging field of AI in software development, and supports universities, research centers, and industries in new projects using AI in software testing. Supports the advancement in the artificial intelligence used in software development; Advances knowledge on artificial intelligence based metaheuristic approach in software testing; Encourages innovation in traditional software testing field using recent artificial intelligence. · .
410  0$aEAI/Springer Innovations in Communication and Computing,$x2522-8609
606   $aComputational intelligence
606   $aData mining
606   $aEngineering$xData processing
606   $aComputational Intelligence
606   $aData Mining and Knowledge Discovery
606   $aData Engineering
615  0$aComputational intelligence.
615  0$aData mining.
615  0$aEngineering$xData processing.
615 14$aComputational Intelligence.
615 24$aData Mining and Knowledge Discovery.
615 24$aData Engineering.
676   $a005.14
676   $a005.14
702   $aKhari$b Manju
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910616360803321
996   $aOptimization of automated software testing using meta-heuristic techniques$93023487
997   $aUNINA