Optimization of discrete and continuous testsuite using heuristic algorithm: A comparative study

Abstract

Software testing plays a major role for developing better quality products. The more test will be conducted, products will be finer and finer. Hence, testing is must for software development. Another side of testing is spending much money on it because people will work rigorously to generate the test suite and executing it. As we know that, no software is bug free software; we cannot assure that the testing which has been done for particular software is sufficient. To get a cost effective testing strategy, one should go for optimization of testsuite. This paper uses Genetic algorithm used to optimize the discrete as well as continuous test suite with a comparative study. Genetic algorithm plays a major role to have a sound weight on optimization of testsuite. Testing can be justified by taking discrete testsuite and can be compared with the result of optimization of continuous testsuite.