A Software Dependability Growth Model based on Self-Reconfiguration
Qian Zhao, Huiqiang Wang, Hongwu Lv, Guangsheng Feng · 2008
With wide application of computers, software quality attracts people`s attention.Traditional software dependability theory can't satisfy people`s requirement, which need induct new idea to resolve the serious software quality crisis.This paper uses self-reconfiguration mechanism of Autonomic Computing to handle problems of software dependability.Senior and Junior Self-Reconfiguration Method are defined in this paper.A software dependability growth model based on selfreconfiguration (SDGMSR) is established, which is analyzed by means of Markov Regenerative Stochastic Petri Net (MRSPN).Experimental results show that our approach can improve software dependability and reduce software maintenance cost more effectively while chooses a proper self-reconfiguration period.