Abstract
Whenever a change is done in software, regression testing is done to check that a recent change in code has not created any unwanted defects in the system. As size of regression test suite is very large, optimization algorithms help in selecting, minimizing and prioritizing test suites. Main aim is maximize fault detection ability with less number of test cases. Optimization techniques of various types are available but Multiobjective algorithms are the best choice to use as testing is dependent on many adequacy criteria or surrogates. In this paper, authors have carried out study on research papers where multi-objective algorithms are used in regression testing. Then comparison of performance of multi-objective algorithms is done to identify the best suitable multi-objective algorithm for regression testing.
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