Ranking Modules for Integrate Testing Based on PageRank Algorithm

The testing industry need to prioritize the limited resources and focus on testing modules whose failure is mostly likely to cause faults. This paper discusses a method that can rank modules in a software package for integrate testing using the PageRank algorithm. In this algorithm, a sequences of random walks iteratively can find a high likelihood of encountering a node, which is interpreted as it being an important performance resource. An experiment result prove that the proposed method actually can be used to prioritize testing of specific modules when testing resource are scarce.