Simulation method of real-time embedded system

Abstract

The invention provides a simulation method of a real-time embedded system. Firstly, an XMI document is read, and elements of the XMI document are divided into a class diagram element collection and a sequence chart element collection; then the class diagram element collection is converted to be C++ codes; on the basis of the C++ codes of class diagrams, the sequence chart element collection is converted to be C++ codes; a Simulink model is converted to be C++ codes through a Simulink Coder, clock interrupt is added, and the C++ codes become real-time codes; then the C++ codes and the real-time codes are combined together according to the set in a class diagram model, an executable file can be compiled and generated, the executable file operates on a target platform, then the simulation of the whole real-time embedded system is achieved, and a test result is given. According to the method, automatic codes of the class diagram model, a sequence chart model and the Simulink model based on UML can be generated, time constraint information is extracted, simulation is carried out by executing the generated codes, and a result report whether the time constraint of the system is met or not is given.

Description

technical field [0001] The invention utilizes UML and Simulink to realize the simulation of a real-time embedded system, and tests the time constraint extracted from the sequence diagram, and belongs to the cross technical field of software engineering, model-driven engineering and system simulation. Background technique [0002] The development of real-time embedded system applications often involves multiple disciplines, such as electronic engineering, mechanical engineering and software engineering. Although these disciplines are tightly coupled in embedded systems, their development is often a serial process. Generally, the mechanical part is designed first, then the hardware facilities are fixed, and finally the embedded software is developed. This approach can lead to many problems, especially for software engineers. For example, the choice of sensor location, rate control, delay control, hardware, etc., which have a great influence on the complexity of the software....

AI Technical Summary

Problems solved by technology

This approach can cause many problems, especially for software engineers

For example, the choice of sensor location, rate control, delay control, hardware, etc., these have a great impact on the complexity of the software

Moreover, there are many implicit assumptions that first emerge when the system is integrated, which leads to the failure to find the best solution

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