Mechanization of a Large DSML: An Experiment with AADL and Coq

2022 20th ACM-IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE) Pub Date : 2022-10-13 DOI:10.1109/MEMOCODE57689.2022.9954589

J. Hugues, L. Wrage, J. Hatcliff, D. Stewart

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Abstract

Domain-Specific Modeling Languages (DSMLs) rely on model-based techniques to deliver tailored languages to meet specific needs, such as system modeling, formal verification, and code generation. A DSML has specific static and dynamic behavior rules that must be properly assessed before processing the model. The definition of these rules remains a challenge. Meta-modeling techniques usually lack the foundational elements required to fully express behavioral semantics. In this context, using an interactive theorem prover provides a mathematical foundation with which the semantics of a DSML can be defined. This includes an abstract syntax tree, typing rules, and derivation of an executable simulator. In this paper, we report on an ongoing effort to capture the SAE AADL language using Coq along with specific analysis capabilities. Our contribution provides an unambiguous semantics for a large set of the language and can be used as a foundation to build rich analysis capabilities.

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大型DSML的机械化:AADL和Coq的实验

领域特定的建模语言(dsml)依赖于基于模型的技术来交付定制的语言，以满足特定的需求，例如系统建模、形式化验证和代码生成。DSML具有特定的静态和动态行为规则，在处理模型之前必须对这些规则进行适当的评估。这些规则的定义仍然是一个挑战。元建模技术通常缺乏充分表达行为语义所需的基本元素。在这种情况下，使用交互式定理证明器为定义DSML的语义提供了数学基础。这包括抽象语法树、类型规则和可执行模拟器的派生。在本文中，我们报告了正在进行的使用Coq和特定分析功能捕获SAE AADL语言的工作。我们的贡献为大量语言提供了明确的语义，并可作为构建丰富分析功能的基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 20th ACM-IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE)

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