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SLDG: a metamodel for Simulink/Stateflow models and its applications

机译:SLDG:Simulink / Stateflow模型及其应用程序的元模型

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摘要

Simulink and Stateflow (SL/SF) models are being widely used to design and develop embedded systems. Often the SL/SF models of embedded controllers turn out to be large and consist of many subsystems and hierarchies. When such a system is maintained, it becomes difficult to manually analyse the model to identify the impacted elements due to the existence of several explicit and implicit dependencies among the model elements. To automate the analysis of an SL/SF model, we propose a metamodel to capture various types of dependencies existing across the basic blocks. We have named this metamodel Simulink dependency graph (SLDG). We investigate the use of SLDG in change impact visualization and regression test selection. We have developed a prototype tool by implementing our approach for the aforementioned applications.
机译:Simulink和Stateflow(SL / SF)模型被广泛用于设计和开发嵌入式系统。通常,嵌入式控制器的SL / SF模型很大,由许多子系统和层次组成。当维护这样的系统时,由于模型元素之间存在一些显式和隐式依赖性,因此很难手动分析模型以识别受影响的元素。为了自动分析SL / SF模型,我们提出了一个元模型来捕获基本块中存在的各种类型的依赖关系。我们已将此元模型Simulink依赖图(SLDG)命名。我们调查在变化影响可视化和回归测试选择中使用SLDG。通过针对上述应用实施我们的方法,我们已经开发了原型工具。

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