Optimized Test Selection Method Considering Test Reliability

Abstract

In this paper, a method of effectively choosing tests with high reliability is proposed, which is based on the problem that the test optimization is not accurate due to the assumption that the test is a reliable test in the traditional test optimization method. First, based on the fault-test dependency matrix, an optimal test selection model taking the reliability of tests into account is proposed. The optimization goal is to minimize the test cost and maximize the test reliability. The constraints of the model involve fault detection rate and fault isolation rate of system. Then, the binary particle swarm optimization algorithm based on differential mutation strategy is used to solve the optimization model. The simulation results show that the optimization method of considering the reliability of tests can effectively eliminate the problem of inaccurate results of test optimization selection due to the completely reliable assumption test.