LEADER 04076nam 22006375 450 001 9910483868603321 005 20200702075453.0 010 $a981-15-2455-6 024 7 $a10.1007/978-981-15-2455-4 035 $a(CKB)4100000010159422 035 $a(MiAaPQ)EBC6037743 035 $a(DE-He213)978-981-15-2455-4 035 $a(PPN)243768176 035 $a(EXLCZ)994100000010159422 100 $a20200203d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAutomated Software Testing $eFoundations, Applications and Challenges /$fedited by Ajay Kumar Jena, Himansu Das, Durga Prasad Mohapatra 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (173 pages) 225 1 $aServices and Business Process Reengineering,$x2524-5503 311 $a981-15-2454-8 327 $aObject Oriented Modeling of multifaceted service delivery system using connected governance -- Automated Requirements Extraction and Product Configuration Verification for Software Product Line -- Test Case Generation for Model Based Testing of Object Oriented Programs -- New Metrics for Predicting the Reliability of Individual Component based on Software Design Metrics -- Prediction priority of defective modules for testing resource allocation -- Early Reliability Prediction Model Integrating Halstead Metrics and Fuzzy Usage -- Investigation and Analysis of Power System Faults with Soft Computational Techniques -- Decision Making on Critical Component Using Combined Approach. 330 $aThis book covers both theory and applications in the automation of software testing tools and techniques for various types of software (e.g. object-oriented, aspect-oriented, and web-based software). When software fails, it is most often due to lack of proper and thorough testing, an aspect that is even more acute for object-oriented, aspect-oriented, and web-based software. Further, since it is more difficult to test distributed and service-oriented architecture-based applications, there is a pressing need to discuss the latest developments in automated software testing. This book discusses the most relevant issues, models, tools, challenges, and applications in automated software testing. Further, it brings together academic researchers, scientists, and engineers from a wide range of industrial application areas, who present their latest findings and identify future challenges in this fledging research area. 410 0$aServices and Business Process Reengineering,$x2524-5503 606 $aComputational intelligence 606 $aData mining 606 $aEngineering?Data processing 606 $aSoftware engineering 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aData Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11040 606 $aSoftware Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I14029 615 0$aComputational intelligence. 615 0$aData mining. 615 0$aEngineering?Data processing. 615 0$aSoftware engineering. 615 14$aComputational Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aData Engineering. 615 24$aSoftware Engineering. 676 $a005.14 702 $aJena$b Ajay Kumar$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDas$b Himansu$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMohapatra$b Durga Prasad$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483868603321 996 $aAutomated Software Testing$92040931 997 $aUNINA