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A HybridUML and QdL Based Verification Method for CPS Self-Adaptability

机译:一种用于CPS自适应的杂交基和QDL基于QDL的验证方法

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摘要

CPS (Cyber-Physical Systems) are physical and engineered systems featuring a tight combination of computation and physical processes by communication networks. CPS are mainly applied in some critical domains, so it is very essential to ensure the correctness of CPS. Formal verification has been successfully applied in the correctness verification of CPS; however, the high theoretical level of formal modeling techniques of formal verification and the lack of visualization of formal models make it difficult to integrate formal verification with enterprise standard system development process. In this paper, we model CPS by HybridUML, an extension of UML, and then transform HybridUML model into the input language of theorem prover KeYmaera-QHP (Quantified Hybrid Program), and finally verify the QHP code with KeYmaera.
机译:CPS(网络物理系统)是通过通信网络紧密的计算和物理过程的紧密组合。 CPS主要应用于一些关键域,因此确保CPS的正确性是至关重要的。正式验证已成功应用于CPS的正确验证;然而,正式验证的正式建模技术的高理论级别和正式模型的可视化使得难以将正式验证与企业标准系统开发过程集成。在本文中,我们通过Hybriduml模拟CPS,UML的扩展,然后将Hybriduml模型转换为定理箴言keymaera-QHP(定量混合程序)的输入语言,最后验证了Keymaera的QHP代码。

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