摘要
为有效地解决系统级故障注入试验建模困难问题,提出语言级生成数据流图,并以此构造动态故障树的故障模型建立方法.通过对故障过程数据流分析,找出数据依赖关系并构造了故障模型生成算法.与其他方法比较,本算法具有动态性,提高了故障覆盖率,减少了系统开销,使故障注入试验更易实现.
To solve the problem that it is difficult to model the system-level fault injection experiment efficiently, this paper presents a novel method for fault model construction, which constructs the dynamic fault tree using the language level data flow graph. Through analyzing the data flow of fault process, the data dependence relations are found out, and a generation algorithm of the fault model is proposed. Compared with other algo- rithms, the algorithm presented in this paper processes the dynamic characteristic. Moreover, it can increase the fault coverage, reduce the system cost and make it easier to implement the fault injection experiment.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2009年第1期118-121,共4页
Journal of Harbin Institute of Technology
基金
国防科工委“十五”预研基金资助项目(417010402)
国家自然科学基金资助项目(60671049)