MINIMIZING AND OPTIMIZING THE SOLUTION SPACE OF TEST DATA

Abstract

In the software development lifecycle (SDL), testing of software is the most stressful and exhausting operation which consumes lots of time. Every aspect of software is very hard to test. Consequently, in recent times some automatic data generation research methods were added to reduce the time expended during the software testing. And the solution space of the automated generated test data is very large. It is not easy to check all the test data which is generated because it is time consuming, forces to check whole solution space of automated generated test data. We present in this paper demonstrating the design framework, implementing it and discovering the tool 's capabilities to minimize the test data generated. Our concrete concepts on the test cases for the optimal set is based on the mutation function Specified by the user. The system was implemented in language C++. We introduce mutation function to calculate mutant score with value and path to the test cases generated to minimize the solution space for the tester.