Evaluation of cloud testing strategies based on task decomposition and allocation for improving test efficiency
Chien‐Hung Liu, Shu‐Ling Chen · 2016
Recently, there is a growing popularity of cloud testing because it can enable both flexibility and cost savings for testing software applications. To leverage cloud testing for improving test efficiency of a large test job, this paper presents several testing strategies to decompose a test job into multiple tasks which then can be executed concurrently in order to shorten overall test time. Several factors including the smallest task unit, the decomposition policy, and the allocation method are considered in the proposed strategies. Experiments were conducted to evaluate these strategies. The results show that the test efficiency can be much improved if the decomposed tasks have near equal sizes or test execution time and the tasks are allocated dynamically.