A cloud-based dynamic random software testing strategy

Abstract

Cloud testing has emerged as a new technology in corporate world and organization, which generates virtual machines for application demands, and employs resource allocation strategies to dispatch the test tasks. Traditional resource allocation strategies usually concern on static assignment, which lacks dynamic adjustment functions. Dynamic Random Testing (DRT) strategy employs feedback mechanism to guide the selection of test cases, which is shown to be effective and has great potential in theoretical as well as practical terms. Therefore, planting the idea of DRT into cloud testing can allocate the test tasks in a dynamic way. In this paper, a cloud-based dynamic random testing strategy is proposed to enhance the testing process and promote the testing efficiency, in which the virtual resource allocation is in accordance with the testing results. A framework of cloud-based DRT strategy is constructed and contrast experiments are conducted on the Cloudsim platform. The experimental results show that the proposed cloud-based DRT strategy has better performance than the traditional testing strategies.