A Novel Approach for Priortization of Optimized Test Cases

Generation and prioritization of test cases is one of the major issue in software testing.Maximum number of faults are identified through test cases only. Clients confidence can be gained through software testing. This paper firstly generates test cases using decision coverage metrics which gave redundant set of set cases. So, in in order to generate optimized set of test cases, genetic algorithm is used so that we can generate maximum number of faults with the minimum number of test cases. After generating the optimized set of test cases we proposed a technique to prioritize those test cases to indicate the order with which test case may be addressed which is known as prioritization of test cases using proposed algorithm which gave results in less time by consuming less resources. KeywordsSoftware Testing, Test Case Generation, Fitness Function, Genetic Algorithm, Optimization, Prioritization