New Test Case Prioritization Technique for Regression Testing

Prioritizing test cases will reasonably reduce the testing effort and cover the maximum faults at the earliest with minimum number of test cases during regression testing after modification of the code. Enormous literature addressed the prioritization problems. But all focused on the single procedure oriented software. Researchers have used Meta-heuristic and evolutionary algorithms to prioritize the test cases. Those algorithms will take little effort and consume reasonable time to prioritize the test cases. The proposed algorithm reduces the computational time and optimally prioritizes the test case. The proposed algorithm is assessed using two standard application, Bank ATM Systems and Student Marks Analyzing System for the practicality of the proposed algorithm. The empirical studies show that the proposed method is significantly improving the rate of code coverage.