Regression Test Selection using Metaheuristics
Tanvi Agrawal1, Arun P. Agrawal2
1Tanvi Agrawal, Department of CS&E, Amity University, Noida (U.P), India.
2Arun P. Agrawal, Department of CS&E, Amity University, Noida (U.P), India.
Manuscript received on 11 June 2013 | Revised Manuscript received on 17 June 2013 | Manuscript Published on 30 June 2013 | PP: 190-193 | Volume-3 Issue-1, June 2013 | Retrieval Number: A0949063113/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Regression Testing is a very expensive activity which is to be completed in a very limited time span. Regression test case selection is an effective technique which helps in reducing the cost and time of the testing. To select the efficient test cases for regression test case selection technique, metaheuristic algorithms Tabu Search and Genetic Algorithm are used.
Keywords: Genetic Algorithm, Metaheuristics, NP-hard, Regression Testing, Tabu Search.
Scope of the Article: Regression and Prediction