高保证系统的多域保证建模与分析

J. R. Davis, J. Scott, J. Sztipanovits, Marcus Martinez
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引用次数: 11

摘要

随着最先进的技术被纳入设计,工程系统正变得越来越复杂。保证建模和分析是一门新兴的科学,它允许工程师定性和定量地预测和评估设计的完整性和可预测性。Surety是美国国防部(DoD)和能源部(DOE)社区经常使用的一个术语,指的是安全、保障、可靠性和性能方面的设计的集成。当前用于分析复杂系统的风险评估技术未能充分描述问题,从而使评估变得碎片化和非集成化。为了解决这个问题,我们已经开发了一种方法和可扩展的软件工具集来解决高结果系统的模型集成和复杂性。多图体系结构(MGA)促进了复杂、高保证系统的多领域、模型集成建模和分析。MGA建模环境允许工程师自定义建模环境,以匹配代表实际设计的设计范例。以前的建模工具有一个预定义的模型空间,它迫使建模者在不太理想的环境中工作。当前的方法迫使问题受到建模工具需求的限制和约束,而不是实际的设计问题。在一些小的情况下,这只是勉强足够。MGA促进了一种保证方法的实施,该方法用于代表安全性和可靠性方面的高保证系统。采用形式化的数学模型来正确描述设计的安全性和可靠性、功能和行为。然后使用商用现货(COTS)工具分析设计的功能和行为表示。
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Multi-domain surety modeling and analysis for high assurance systems
Engineering systems are becoming increasingly complex as state of the art technologies are incorporated into designs. Surety modeling and analysis is an emerging science that permits an engineer to qualitatively and quantitatively predict and assess the completeness and predictability of a design. Surety is a term often used in the Department of Defense (DoD) and Department of Energy (DOE) communities, which refers to the integration of safety, security, reliability and performance aspects of design. Current risk assessment technologies for analyzing complex systems fail to adequately describe the problem, thus making assessment fragmented and non-integrated. To address this problem, we have developed a methodology and extensible software toolset to address model integration and complexity for high consequence systems. The MultiGraph Architecture (MGA) facilitates multi-domain, model-integrated modeling and analyses of complex, high-assurance systems. The MGA modeling environment allows the engineer to customize the modeling environment to match a design paradigm representative of the actual design. Previous modeling tools have a predefined model space that forces the modeler to work in less than optimal environments. Current approaches force the problem to be bounded and constrained by requirements of the modeling tool and not the actual design problem. In some small cases, this is only marginally adequate. The MGA facilitates the implementation of a surety methodology, which is used to represent high assurance systems with respect to safety and reliability. Formal mathematical models are used to correctly describe design safety and reliability functionality and behavior. The functional and behavioral representations of the design are then analyzed using commercial-off-the-shelf (COTS) tools.
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