Comparisons of Test t Case Prioritization Algorithm with Random Prioritization

Abstract—Test case prioritization organizes test cases in a way to accomplish some performance goals efficiently. Rate of error detection is one most important performance objectives. The test cases must be given in an order that calls down the opportunity of fault detection in the early life cycle of testing. Test case prioritization techniques have shown to be good in improving regression testing activities. In this report, we have suggested an algorithm which prioritizes the system test cases based on the six factors: customer priority, changes in requirement, implementation complexity, requirement traceability, execution time and fault impact of requirement. We conducted a controlled experiment on two industrial data sets to compare the suggested value based test case prioritization algorithm with random prioritization for early rate of fault detection. The average share of fault detection metrics have been employed to evaluate the efficiency of proposed and random priority and it proves that the proposed value based algorithm is more effective than random prioritization to generate sequence of trial examples for early rate of fracture detection. Index Terms—Test case prioritization (TCP), test case factors, Average percentage of error detection I