Title : Regression Test Suite Prioritization Using Genetic Algorithm For Industry Oriented Applications

Type of Material: Thesis
Title: Regression Test Suite Prioritization Using Genetic Algorithm For Industry Oriented Applications
Researcher: HEMA SHANKARI, K
Guide: THIRUMALAISELVI, R
Department: Department of Computer Application
Publisher: Bharath University, Chennai
Place: Chennai
Year: 2019
Language: English
Subject: Arts and Humanities
Arts and Recreation
Humanities Multidisciplinary
Computer Science and Information Technology
Arts, Humanities and Languages
Dissertation/Thesis Note: PhD; Department of Computer Application, Bharath University, Chennai, Chennai; 2019
Fulltext: Shodhganga

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040__|aBHAU_600073|dIN-AhILN
041__|aeng
100__|aHEMA SHANKARI, K|eResearcher
110__|aDepartment of Computer Application|bBharath University, Chennai|dChennai|ein|0U-0446
245__|aRegression Test Suite Prioritization Using Genetic Algorithm For Industry Oriented Applications
260__|aChennai|bBharath University, Chennai|c2019
300__|dDVD
502__|bPhD|cDepartment of Computer Application, Bharath University, Chennai, Chennai|d2019
520__|aSoftware testing has a critical part to perform in software quality assurance. Basically, it is a core stage of the software development life cycle and at a same time it is in-economic and is a process that consumes huge amount of time. It becomes very inefficient for a tester to re-execute huge number of test cases again and again for small variations. Hence, test case prioritization and optimization methods are utilized to get the test cases scheduled and choose the optimum subset consisting of relevant test cases out of a pool of test suit. The most of the existing system designed a various test case optimization and prioritization techniques such as greedy algorithms. But, it remains common knowledge that these algorithms might generate suboptimal results since they might generate outcomes, which represent just the local minima inside the search space. In the proposed system the major work is to design a new proposed algorithm combined with Rational Functional Tester (RFT) Tool. To achieve an optimal te
650__|aComputer Science and Information Technology|2UGC
650__|aArts, Humanities and Languages|2AIU
653__|aArts and Humanities
653__|aArts and Recreation
653__|aHumanities Multidisciplinary
700__|aTHIRUMALAISELVI, R|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/314512|yShodhganga
905__|afromsg

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