Empirical Validation of an Efficient Test Data Generation Algorithm Based on Adequacy Based Testing CriteriaEmpirical Validation of an Efficient Test Data Generation Algorithm Based on Adequacy Based Testing CriteriaEmpirical Validation of an Efficient Te

Provided by: Delhi Technological University
Topic: Security
Format: PDF
The length and the complexity of the software are rising day by day. This rising complexity has increased the demand for techniques that can generate test data effectively. Test data generation techniques selects from the input domain of the program, those input values that satisfies a pre-defined testing criteria. In this paper, the authors propose a new test data generation algorithm. Their algorithm generates test data using adequacy based testing criteria that aims to generate an adequate test data set by using the concept of mutation analysis. In general, mutation analysis is applied after the test data is generated. But, their algorithm applies mutation analysis at the time of generating test data only rather than applying it after the generation of test data.

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