Dynamic Random Testing Strategy for Test Case Optimization in Cloud Environment
Hanyu Pei, Beibei Yin, Min Xie · 2018
Dynamic Random Testing (DRT) strategy employs feedback mechanism to guide the selection of test cases, which has shown to be effective in fault detection process. Cloud testing is the combination of cloud computing and software testing, in which the parallel mechanism is introduced to handle multiple test tasks simultaneously. The efficiency of DRT can be improved by combining it into cloud environment. However, it faces challenges in cloud testing as its test cases are selected sequentially, which does not consist with the characteristic of parallelism underlying cloud testing. In this paper, we present a cloud-based DRT strategy to adapt DRT in cloud testing, in which both the test case prioritization and resource allocation are considered. The results of the experiments show that the cloud-based DRT can improve the efficiency of original DRT and provide stable fault detection performance enhancement over other testing strategies.