Dynamic Random Testing with Parameter Adjustment

In order to improve traditional Random Partition Testing (RPT) strategy, Dynamic Random Testing (DRT) strategy is proposed. By DRT, testing profile is dynamically updated according to the previous test case execution result. The effectiveness of DRT depends on parameter settings. In this paper, a strategy is presented for extending the DRT with parameter adjustment in order to guarantee that the optimized boundaries. Using this strategy, the parameters in DRT are adjusted based on testing history during testing process. Case studies are presented and analyzed to show the improvement of DRT.