An Adequacy Based Test Data Generation Technique Using Genetic Algorithms
As the complexity of software is increasing, generating an effective test data has become a necessity. This necessity has increased the demand for techniques that can generate test data effectively. This paper proposes a test data generation technique based on adequacy based testing criteria. Adequacy based testing criteria uses the concept of mutation analysis to check the adequacy of test data. In general, mutation analysis is applied after the test data is generated. But, in this paper, the authors propose a technique that applies mutation analysis at the time of test data generation only, rather than applying it after the test data has been generated.