In these research methods for Test case prioritization to perform schedule test case has been discussed. It has been discussed for running in an order that try to raise effectiveness. It has been discussed that goals is Average Percentage Fault Detection (APFD) . This paper, we describe several methods in case of prioritizing of test cases. Such work has been dependent on thought of prioritization of test case methods. It takes the objective to expose maximum fault potential. The mutant based testing is used on the primary basis to get the effectiveness of test cases. It is used to expose the known faults. It is based on the version information. It also considers the historical aspects of effectiveness. The effectiveness is tested against known faults like heuristics. The approach is a probabilistic estimate. It is made for test cases and mutants testing. The problem lies in finding the best sequence of the application. It is of test cases. The aim is to detect average percentage of APFD. This is over lifetime in case of test suite. It should be maximized. The outputs are suggesting that several methods could significantly improve. They are improved due to hybridization of algorithm execution time complexity of algorithm has been increased.

Test Case Prioritization, BAT, Levy Flight, APFD ,Metaheuristc Algorithms

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