Abstract: Because of the degeneration of system environment, running software system doesn't avoid software aging.This paper gave a reforming MBP Neutral Network(MBPNN)to represent the Markov Model(MM). This method can be used to supply the gap of the inaccuracy of forecasting result, when only using Markov model. According as the result, software rejuvenation can be implemented reasonably. Study results indicate that the method can forecast the status of running software system efficiently.

Key words: Software aging, Software rejuvenation, Markov model, BP neural network