Software Test Case Optimization Using Genetic Algorithm

Testing is work escalated and tedious process. Testing can be completed in two ways either manually or automatically. Tester conducts the testing process with the assistance of different accessible automated testing tools and strategies. Testing software is essentially the way toward recognizing an arrangement of information which fulfils the criteria set for testing. Test data generation is the way of collecting the data which meet the testing criterion. Parts of research have been finished by numerous specialists and they created many test data generator e.g. random test data generators, symbolic test data generators and dynamic test. This paper presents the streamlining investigation of the experiment age in light of the Genetic Algorithm and produces test cases which are significantly more reliable. This paper stresses on generation of test case using genetic algorithm. Genetic algorithm is the adaptation technology of their own. The purpose of the research paper is to implement the genetic algorithms to reduce the test cases and reduce cost, time and effort to give good quality software.