The optimization of operational test indexes plays an important role in simplifying test subjects， saving test resources and shortening test cycle. For the coexistence of a large number of qualitative and quantitative indicators in the operational test system， an optimization method of operational test index based on rough set and genetic algorithm is proposed. Based on the initial frame of operational test index system， the decision information table of operational test index system is built， and its attributes are reduced by rough set and genetic algorithm to obtain a simplified index set. The method is verified by a fire operational effectiveness test case of anti-aircraft gun weapon.

Aiming at missile defense system-of-systems process， based on complex network， the application of missile defense system-of-systems is abstracted topologically， and the supernetwork modeling of the application of missile defense system-of-systems is built， which is composed of accusation subnet， information subnet， engagement subnet and sensor subnet. The static interaction mechanism of models is analyzed deeply， and the nodes interaction relationship is described mathematically. The dynamic interaction mechanism of the models is analyzed based on the time sequence of operation phases， and the characteristic parameters reflecting the network evolution characteristics between subnet and internal subnet are extracted. The simulation results show the overall characteristic value such as network density of the network changes in phases， and the information flow changes regularly with phases tasks， as well as the role and status of each node， which is a useful exploration for the following optimization problems.