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Using Tool-Supported Model Based Safety Analysis -- Progress and Experiences in SAML Development

机译:使用基于工具支持的模型的安全性分析-SAML开发的进展和经验

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Software controls in technical systems are becoming more and more important and complex. Model based safety analysis can give provably correct and complete results, often in a fully automatic way. These methods can answer both logical and probabilistic questions. In common practice, the needed models must be specified in different input languages of different tools depending on the chosen verification tool for the desired aspect. This is time consuming and error-prone. To cope with this problem we developed the safety analysis modeling language (SAML). In this paper, we present a new tool to intuitively create probabilistic, non-deterministic and deterministic specifications for formal analysis. The goal is to give tool-support during modeling and thus make building a formal model less error-prone. The model is then automatically transformed into the input language of state of the art verification engines. We illustrate the approach on a case-study from nuclear power plant domain.
机译:技术系统中的软件控制变得越来越重要和复杂。基于模型的安全性分析通常可以以全自动的方式提供可证明的正确和完整的结果。这些方法可以回答逻辑和概率问题。通常,必须根据所需方面选择的验证工具,以不同工具的不同输入语言指定所需的模型。这既费时又容易出错。为了解决这个问题,我们开发了安全分析建模语言(SAML)。在本文中,我们提出了一种新工具,可以直观地创建概率,非确定性和确定性规范以进行形式分析。目标是在建模期间提供工具支持,从而使构建正式模型的错误率降低。然后将模型自动转换为最新验证引擎的输入语言。我们在核电厂领域的案例研究中说明了该方法。

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