从Lustre到Simulink

IF 2 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ACM Transactions on Cyber-Physical Systems Pub Date : 2021-07-29 DOI:10.1145/3461668
Hamza Bourbouh, P. Garoche, C. Garion, X. Thirioux
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引用次数: 0

摘要

在构建嵌入式系统,更具体地说,是控制器时,基于模型的设计现在是不可避免的。在可用的模型语言中,同步数据流范式,如在MATLAB Simulink或ANSYS SCADE等语言中实现的,已经在关键的嵌入式系统行业中占据主导地位。这两个框架都用于设计控制器本身,但也提供了代码生成方法,使更快的部署目标和更容易的V&V活动在设计过程的早期,在模型级别上执行。同步模型还通过使用同步观察者简化了正式规范的定义,用工程师掌握的相同语言将需求附加到模型上,并使用仿真手段或代码生成工具。然而,很少有作品解决了从低级模型或代码自动合成MATLAB Simulink注释的问题。本文介绍了从Lustre模型到真正的MATLAB Simulink的编译过程,不需要依赖外部C函数或MATLAB函数。这种转换是基于Lustre到命令式代码的模块化编译,并在生成的Simulink模型中保留了输入Lustre模型的层次结构。我们实现了这种方法,并使用它来验证编译工具链,通过等效测试和检查,将Simulink映射到Lustre,然后映射到C。这种从Lustre到Simulink的反向编译也提供了自动生成Simulink组件建模规范、证明参数或测试用例覆盖标准的能力。
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From Lustre to Simulink
Model-based design is now unavoidable when building embedded systems and, more specifically, controllers. Among the available model languages, the synchronous dataflow paradigm, as implemented in languages such as MATLAB Simulink or ANSYS SCADE, has become predominant in critical embedded system industries. Both of these frameworks are used to design the controller itself but also provide code generation means, enabling faster deployment to target and easier V&V activities performed earlier in the design process, at the model level. Synchronous models also ease the definition of formal specification through the use of synchronous observers, attaching requirements to the model in the very same language, mastered by engineers and tooled with simulation means or code generation. However, few works address the automatic synthesis of MATLAB Simulink annotations from lower-level models or code. This article presents a compilation process from Lustre models to genuine MATLAB Simulink, without the need to rely on external C functions or MATLAB functions. This translation is based on the modular compilation of Lustre to imperative code and preserves the hierarchy of the input Lustre model within the generated Simulink one. We implemented the approach and used it to validate a compilation toolchain, mapping Simulink to Lustre and then C, thanks to equivalence testing and checking. This backward compilation from Lustre to Simulink also provides the ability to produce automatically Simulink components modeling specification, proof arguments, or test cases coverage criteria.
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来源期刊
ACM Transactions on Cyber-Physical Systems
ACM Transactions on Cyber-Physical Systems COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
5.70
自引率
4.30%
发文量
40
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