Efficient Test Cases of Regression Testing Using Genetic Algorithm

Abstract: Software Testing is the process of validation and verification of product to provide the quality and efficiency and regression testing is the process of validating the modified software to detect errors that have been introduced into previously tested code. The test cases need to be generated as the software is modified and size of test suites will also increase. In this case, there is need of prioritization of test cases to reduce the cost of regression testing. The genetic algorithm (GA) has been proposed for prioritizing the test cases on the basis of fault coverage and execution time. The proposed work will improve the effectiveness of algorithm with the help of genetic algorithm (GA). Total fault coverage with in time constrained environment on different examples is needed to prioritize the test cases and their finite solution should obtained. Through Genetic Algorithm technique, an approach has been identified to find a suitable population, which was further formulated by GA operations to make it more flexible and efficient. The theoretical approach has been discussed.

Keywords: Genetic Algorithm, Regression, Faults, Test Cases, Execution Time.