软件系统高后果故障分析的自顶向下方法

E. Fronczak
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引用次数: 8

摘要

仅给出摘要形式,如下。即使软件代码没有故障,硬件故障也可能改变内存中的值,可能是代码本身存储的地方,导致计算机系统达到不可接受的状态。微处理器系统用于执行许多安全和安保功能,其设计目标是消除诸如此类的单点故障。一种设计方法是使用多个处理器,比较输出,如果输出不一致,则假定发生了故障。然而,在设计受限于单处理器的系统中,需要分析方法来识别位级上潜在的单点故障,以便采用有效的容错策略。本文描述了一种基于故障树分析的自顶向下方法,该方法已被用于识别基于微处理器的系统中潜在的高后果故障。使故障树分析易于处理的关键是有效地结合适当的设计特征,如软件路径控制和校验和,以便能够尽早终止故障树的复杂分支。分析使用简化的软件流程图来描述相关的代码元素。然后检查机器语言的相关部分以识别可疑的硬件。将该方法与基于失效模式和影响分析(FMEA)的方法进行了比较。通过一个简单的示例演示了该方法。还演示了使用故障树来显示软件代码没有安全或安全错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A top-down approach to high-consequence fault analysis for software systems
Summary form only given, as follows. Even if software code is fault-free, hardware failures can alter values in memory, possibly where the code itself is stored, causing a computer system to reach an unacceptable state. Microprocessor systems are used to perform many safety and security functions where a design goal is to eliminate single-point failures such as these. One design approach is to use multiple processors, compare the outputs, and assume a failure has occurred if the outputs don't agree. In systems where the design is constrained to a single processor, however, analytical methods are needed to identify potential single-point failures at the bit level so that an effective fault-tolerant strategy can be employed. This paper describes a top-down methodology, based upon fault tree analysis, that has been used to identify potential high-consequence faults in microprocessor-based systems. The key to making the fault tree analysis tractable is to effectively incorporate appropriate design features such as software path control and checksums so that complicated branches of the fault tree can be terminated early. The analysis uses simplified software flow diagrams depicting relevant code elements. Pertinent sections of machine language are then examined to identify suspect hardware. A comparison of this methodology with approaches based upon failure modes and effects analysis (FMEA) is made. The methodology is demonstrated through a simple example. Use of fault trees to show that software code is free of safety or security faults is also demonstrated.
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