Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8066861 | Annals of Nuclear Energy | 2018 | 12 Pages |
Abstract
A software reliability demonstration method was designed for the modeling and analysis of nuclear safety-critical Digital Instrumentation and Control (DI&C) system software. A “Reliability Demonstration of Safety-critical Software, RDSS” platform based on the Claim-Argument-Evidence (CAE) is presented to help the analysts for the analysis and evaluation of the software reliability. A novel method transformed the CAE method into Bayesian Brief Network (BBN) was proposed for the mining of the most sensitive elements (Evidence) in the DI&C system by sensitivity analysis with three reasoning methods. Moreover, this paper proposes an engineering approach for the identification of the vulnerability elements which influenced the reliability of DI&C system software life cycle.
Keywords
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Authors
Guo Jia, Yang Ming, Zou Bowen, Zhang Yuxin, Yang Jun, Dai Xinyu,