Effective testing can develop quality software with higher productivity at a lower cost. As the software is modified and new test cases are added to the test suite, the size of the test suite grows and the cost of testing is also increases. In order to reduce the cost of testing researcher have investigated the use of test suite reduction technique. Redundancy in test suite increases the execution cost. Weighted set covering Technique can be used to solve the test suite minimization. This paper adapts the cost and priority factor to reduce the test suite. We conduct a comparison between the different algorithm and design a formula for the test suite reduction.