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In view of the present testability modeling work, there is no specific methods to guide the test configuration, the analysis of system failure propagation relation, this paper proposes a hybrid discrete binary particle swarm - genetic algorithm for solving the optimal scheme of test configuration, make the system testability model under the prescriptive testability index using the least number of tests. Binary particle coding is carried out in the system test configuration scheme, and genetic operators are introduced in particle swarm optimization algorithm, so that the hybrid algorithm has fast searching speed and avoids getting trapped in local optimum. In the end, it is proved that the proposed algorithm is correct and has practical application value to guide the test modeling of complex system.