Hybrid firefly algorithm based regression testcase prioritisation Online publication date: Tue, 03-Oct-2017
by Sanjivani Kale; Yelisetty S.S.R. Murthy
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 12, No. 4, 2017
Abstract: Regression testing is one among the most serious activities of software development and conservation. The main influence of our study is regression test case generation, factors documentation, clustering for test case prioritisation and optimisation of ordered test case. In this investigation, the K-means clustering algorithm will be utilised to discrete the pertinent test cases from immaterial test cases. Pertinent test cases signify the prioritised test cases. We will reflect only these pertinent test cases subsequent from the clustering algorithm to optimise it along with hybrid fire fly algorithm (HFFA). The hybridisation of artificial bee colony (ABC) algorithm and also the firefly (FF) algorithm are utilised for the function of HFFA. The FF will be administered within the scout bee constituent of ABC that leads to fast conjunction and restricted search space controlled depended on optimisation of locations in our HFFA optimisation algorithm. Therefore we will acquire effective prioritised test cases.
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