000 03441nam a22004095i 4500
001 394043
003 ES-MaUEC
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008 220926s2022 sz | s |||| 0|eng d
020 _a9783031072970
024 7 _a10.1007/978-3-031-07297-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
245 1 0 _aOptimization of Automated Software Testing Using Meta-Heuristic Techniques
_cedited by Manju Khari, Deepti Bala Mishra, Biswaranjan Acharya, Ruben Gonzalez Crespo
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (X, 184 páginas)
_b64 ilustraciones, 51 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aEAI/Springer Innovations in Communication and Computing
_x2522-8609
505 0 _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.
520 _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. · .
700 1 _aKhari, Manju
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMishra, Deepti Bala
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aAcharya, Biswaranjan
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGonzalez Crespo, Ruben
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783031072963
776 0 8 _iPrinted edition:
_z9783031072987
776 0 8 _iPrinted edition:
_z9783031072994
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-07297-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSpringer_Robotics_2022
999 _c394043
_d394043