A New Approach for Data Mutation Based Test Case Generation
Mutation testing is taken as a very powerful tool dependent testing technique but it is too costly. It is a pleasant way of using large number of test requirements for ensuring quality. On the other hand it also need of heavy automation. It is considered costly because of the high number of requirements it creates compared to other testing techniques and it is tool dependent for the same reason. In this paper, we present an incipient technique called data mutation predicated on engendering an immensely colossal number of test data from initial test cases either manually or with some automatic test case generation method. It is influenced by some mutation testing methods, but varies from the manner that mutation operators are defined and utilized. While mutation testing is a technique for quantifying test adequacy, data mutation is a technique of test case generation. In traditional mutation testing, mutation operators are acclimated to convert the program under test. In contrast, mutation operators in our task are applied on input data to engender test cases, hence called data mutation operators. In this paper will be implemented with the approach on testing an automated modelling implement to describe the applicability of the proposed method.
Author Name: Dr.Y. Kalpana and Pramod Kumar Mallick
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Keywords: Mutation Testing, Test Cases, Mutation Operator