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• W3133655866 abstract "Now a day's software is the baseline for the success of any organization. There is a huge demand of quality software in the customer-oriented market. Regression testing makes it possible but it’s a costly affair. Regression test suite minimization is way to reduce this cost but it is NP hard problem. This paper proposes an effective approach for regression test suite minimization using Artificial Ecosystem Optimization algorithm. To improve its performance a modified Artificial Ecosystem Optimization algorithm is proposed for Test case minimization. To evaluate the performance of proposed approach experiment is conducted in controlled parameter setting on open-source subject program from SIR repository. The results are collected and analyzed in comparison to existing approaches using statistical test. The test results reflect the superiority of proposed approach." @default.
• W3133655866 created "2021-03-15" @default.
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• W3133655866 date "2021-01-01" @default.
• W3133655866 modified "2023-09-24" @default.
• W3133655866 title "Regression Test Suite Minimization Using Modified Artificial Ecosystem Optimization Algorithm" @default.
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• W3133655866 doi "https://doi.org/10.22059/jitm.2021.80023" @default.
• W3133655866 hasPublicationYear "2021" @default.
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