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Due to the fact that the combinatorial explosion problem of test selection in the design for testability for complex system,an intelligent method of test selection based on an improved discrete particle swarm optimization algorithm (IDPSO) is put forward. First,the ergodic of chaos has been used to initialize the velocities and positions of the particles. Then,the fitness value is calculated by heuristic rule and penalty function to improve the search performance. Finally,The inertia weights were adjusted according to adaptively strategy,which can avoid the particles trapped in local optimal. The simulation results meet all system requirements and show that IDPSO algorithm can achieve global optimal solution fast and effectively,which makes it a good solution to the optimal test selection for complex system.