Modeling Verilog designs using a value-based model

Naveed Riaz
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Abstract

Model-based diagnosis (MBD) is a well known (AI) technique for localizing faulty components in physical systems. A prerequisite for the application of model based diagnosis is the representation of the physical system as a model. Developing models for fault localization in HDL designs has been an active research area in recent years. Whereas Verilog is considered the most widely used HDL, research on fault localization has mainly focused on the VHDL domain. The research presented herein reports on a novel logical model for Verilog designs that can be automatically derived from the source program and can be directly used by a model-based diagnosis engine for computing diagnoses. We also point out some notable semantic differences between VHDL and Verilog and discuss its implications on debugging model.
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使用基于值的模型建模Verilog设计
基于模型的诊断(MBD)是一种众所周知的(AI)技术,用于定位物理系统中的故障部件。应用基于模型的诊断的先决条件是将物理系统表示为模型。近年来,开发HDL设计中的故障定位模型是一个活跃的研究领域。虽然Verilog被认为是应用最广泛的高密度语言,但故障定位的研究主要集中在VHDL领域。本文的研究报告了一种新的Verilog设计逻辑模型,该模型可以从源程序自动导出,并可直接用于基于模型的诊断引擎进行计算诊断。我们还指出了VHDL和Verilog之间一些显著的语义差异,并讨论了其对调试模型的影响。
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