系统功能故障下运行时需求退化的高效差分分析算法

Jialong Li, Kazuya Aizawa, K. Tei, S. Honiden
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引用次数: 2

摘要

在基于事件的系统中,安全属性是防止系统发生不良事件的关键要求。但是,由于运行时系统功能故障,可能会违反安全属性。从自适应系统的角度来看,这样的系统应该是需求感知的,并改变其行为以尽可能多地满足设计的需求。先前的工作提出了一种方法来分析可能的适应方案,降低不同的需求。本文提出了一种高效的差分分析算法,缩短了分析时间,从而更及时地适应功能故障。我们的想法是重用开发时间的分析结果,只重新分析已更改的部分,而不是从头开始执行完整的分析。我们基于三个案例研究评估了算法的效率:煤矿泵控制系统、网络物理安全人员流动限制系统和工厂生产单元系统。实验结果表明,与现有的分析技术相比,我们的算法平均减少了75.9%的分析时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Difference Analysis Algorithm for Runtime Requirement Degradation under System Functional Fault
In event-based systems, safety properties are critical requirements to prevent the system from bad things happen. However, safety properties may be violated because of the runtime system functional fault. From the viewpoint of a self-adaptive system, such a system should be requirement-aware and changes its behavior to satisfy the designed requirements as much as possible. The previous work proposed a method to analyze possible adaptation options with degrading different requirements. Here, we propose an efficient difference analysis algorithm to shorten the analysis time so that the adaptation to functional fault can be more timely. Our idea is to reuse the analysis result of development time and re-analyze the changed part only, instead of performing the complete analysis from scratch. We evaluated our algorithm’s efficiency based on three case studies: a coalmine pump-control system, a cyber-physical security people-flow restriction system, and a factory production cell system. The experiment results indicate that our algorithm averagely reduces 75.9% of analysis time compared with the existing analysis technique.
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