Prioritized Test Generation Strategy for Pair-Wise Testing

Abstract

Pair-wise testing is widely used to detect faults in software systems. In many applications where pair-wise testing is needed, the whole test set can not be run completely due to time or budget constraints. In these situations, it is essential to prioritize the tests. In this paper, we drive weight for each value of each parameter, and adapt UWA algorithm to generate an ordered pair-wise coverage test suite. UWA algorithm is to accord weights set for each value of each parameter of the system, then produce ordered pair-wise coverage test set for having generated but unordered one. Finally, a greedy algorithm is adopted to prioritize generated pair-wise coverage test set with driven weights, so that whenever the testing is interrupted, interactions deemed, most important are tested.