CPS (Cyber Physical Systems) adaptability verification method based on Hybrid UML (Unified Modeling Language) and theorem proving

Abstract

The invention discloses a CPS (Cyber Physical Systems) adaptability verification method based on Hybrid UML (Unified Modeling Language) and theorem proving, which is mainly used for solving the problem that the formal verification method is too high in theoretical property to be popularized. The method comprises the following steps of: firstly, modeling the CPS through a Hybrid UML view; transforming a Hybrid UML specification into an input-QHP (Quantitative Hybrid Program) of a theorem prover KeYmaera; in combination with the generated QHP, specifying the to-be-verified attribute in a manner of Qdl (Quantitative differential dynamic logic) formula, and then, executing automatic verification by the KeYmaera; before executing model transformation, needing to define meta models of the Hybrid UML and the QHP, while executing model transformation, firstly, eliminating the hierarchy of a top layer Mode, wherein the model obtained after transformation is named as Flat Mode, then, determining a transformation rule according to the consistency of macro semantics and meta semantics between the Flat Mode and the QHP, describing the transformation rule with the ATL (ATLAS Transformation Language), realizing the transformation from a Flat Mode model to a QHP medium model, and realizing the transformation from the QHP medium model to the QHP codes through a customized template language.

Description

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AI Technical Summary

Benefits of technology

This technology allows us to use this approach to check if an algorithm works properly with certain standards systems developed during their initial stages or afterward. By comparing different versions of these algorithms against each other's performance, we are able to identify any issues that may affect how they work correctly. Overall, it provides technical benefits such as reduced costs associated with validating new software without requiring significant effort from developer teams who want to develop them again later when needed.

Problems solved by technology

Technological Problem addressed in this patents relates to improving the accuracy of certifications made through electronic systems like cyberspace. Current solutions involve either static analysis tools or complex analyzes requiring extensive computing resources. These technical means aimed at developing more efficient and effective ways to perform analogous tests without compromising their reliabilities.

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