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Verification Methodology for DEVS Models.

机译:DEVS模型的验证方法。

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摘要

Modeling is an effective tool for studying the behaviour of a system. When modeling, the system's descriptions are usually abstracted into simpler models. These models can then be analyzed and solved (manually or automatically) by using different mathematical techniques. However, sometimes the models become too complex to analyze formally. In those cases, computer Modeling and Simulation (M&S) can help designers to understand the behaviour of these systems better. One example of such complex systems are Real-Time (RT) systems, which are usually composed of a digital computer executing software that interacts with the external physical environment with tight timing constraints.;Due to the benefits of formal verification of RT simulation models, this thesis introduces a methodology to enable performing formal verification of simulation models based on the Discrete Event System Specification (DEVS) formalism. The thesis introduces a road map for a complete methodology to formally verify DEVS models, thus enabling better methods for M&S validation and verification and making M&S a better tool for RT-embedded systems development.;In studying these systems, M&S has proven to be an essential tool. However, when simulating RT models, the required interactions could quickly grow beyond the ability of human observation and analysis. Instead, formal methods for verifying these systems can guarantee the correct and timely function of these systems.
机译:建模是研究系统行为的有效工具。在进行建模时,通常将系统的描述抽象为更简单的模型。然后可以使用不同的数学技术来分析和求解这些模型(手动或自动)。但是,有时模型变得过于复杂而无法进行正式分析。在这种情况下,计算机建模和仿真(M&S)可以帮助设计人员更好地了解这些系统的行为。这种复杂系统的一个例子是实时(RT)系统,通常由一台数字计算机执行软件组成,该软件与外部物理环境在严格的时序约束下进行交互。由于RT仿真模型的形式验证的优势,本文介绍了一种基于离散事件系统规范(DEVS)形式主义对仿真模型进行形式验证的方法。本文介绍了一种路线图,该路线图用于正式验证DEVS模型的完整方法,从而为M&S验证和验证提供了更好的方法,并使M&S成为RT嵌入式系统开发的更好工具。在研究这些系统时,M&S被证明是一种有效的方法。基本工具。但是,在模拟RT模型时,所需的交互作用可能会迅速超出人类观察和分析的能力。相反,用于验证这些系统的正式方法可以保证这些系统的正确和及时的功能。

著录项

  • 作者

    Saadawi, Hesham.;

  • 作者单位

    Carleton University (Canada).;

  • 授予单位 Carleton University (Canada).;
  • 学科 Engineering System Science.;Computer Science.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 162 p.
  • 总页数 162
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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