A Multi-State Aperiodic Inspection Strategy Optimizing Method in Software Rejuvenation

To further reduce the maintenance cost in the process of software aging, a multi-state aperiodic inspection method in the field of software rejuvenation is proposed. In this method, the inspection target reliability (ITR) in different state intervals is used as a decision variable, and the decision parameters can be dynamically adjusted according to the system operating state to flexibly determine the optimal inspection period. By establishing a discrete maintenance cost model under the constraints of multi-state reliability, the optimal decision configuration parameters are solved using an improved genetic algorithm. The final experimental results show that the proposed method can significantly reduce system maintenance cost compared with existing single-state methods.