基于时间属性的跟踪检查信号:一种模型驱动的方法

Chaima Boufaied, C. Menghi, D. Bianculli, Yago Isasi Parache
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引用次数: 7

摘要

当系统的输入和输出是随时间变化的信号时,基于信号的时间属性(SBTPs)表征系统的行为;它们在网络物理系统的需求规范中非常常见。尽管存在几种用于表示sbtp的规范语言,但这些语言要么不容易允许规范重要类型的属性(如尖峰或振荡行为),要么不受(有效的)跟踪检查过程的支持。在本文中,我们提出了一种新的模型驱动的sbtp跟踪检查方法SB-TemPsy。SB-TemPsy提供了(i) SB-TemPsy- dsl,一种特定于领域的语言,允许对涵盖网络物理系统中最常见需求类型的sbtp进行规范,以及(ii) SB-TemPsy- check,一种高效的、模型驱动的跟踪检查过程。此过程将检查执行跟踪上的SB-TemPsy-DSL属性的问题简化为在执行跟踪的模型上评估对象约束语言约束的问题。我们通过评估SB-TemPsy-DSL的表达性和SB-TemPsy-Check在卫星领域的代表性工业案例研究的适用性来评估我们的贡献。SB-TemPsy-DSL可以表达我们案例研究中97%的需求,SB-TemPsy-Check在87%的案例中产生了跟踪检查判决,平均检查时间为48.7 s。从实际的角度来看,与最先进的替代方案相比,我们的方法在表达性和性能之间实现了更好的权衡,因为它支持大量可以在大多数情况下在实际时间限制内检查的属性类型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trace-Checking Signal-based Temporal Properties: A Model-Driven Approach
Signal-based temporal properties (SBTPs) characterize the behavior of a system when its inputs and outputs are signals over time; they are very common for the requirements specification of cyber-physical systems. Although there exist several specification languages for expressing SBTPs, such languages either do not easily allow the specification of important types of properties (such as spike or oscillatory behaviors), or are not supported by (efficient) trace-checking procedures. In this paper, we propose SB-TemPsy, a novel model-driven trace-checking approach for SBTPs. SB-TemPsy provides (i) SB-TemPsy-DSL, a domain-specific language that allows the specification of SBTPs covering the most frequent requirement types in cyber-physical systems, and (ii) SB-TemPsy-Check, an efficient, model-driven trace-checking procedure. This procedure reduces the problem of checking an SB-TemPsy-DSL property over an execution trace to the problem of evaluating an Object Constraint Language constraint on a model of the execution trace. We evaluated our contributions by assessing the expressiveness of SB-TemPsy-DSL and the applicability of SB-TemPsy-Check using a representative industrial case study in the satellite domain. SB-TemPsy-DSL could express 97% of the requirements of our case study and SB-TemPsy-Check yielded a trace-checking verdict in 87% of the cases, with an average checking time of 48.7 s. From a practical standpoint and compared to state-of-the-art alternatives, our approach strikes a better trade-off between expressiveness and performance as it supports a large set of property types that can be checked, in most cases, within practical time limits.
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