对SystemC设计进行有效的基于断言的验证

A. Habibi, S. Tahar
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引用次数: 26

摘要

在本文中,我们提出了一种基于属性规范语言(PSL)的方法来有效地验证添加在SystemC库之上的断言。为了提高断言覆盖率,我们还提出了一种基于静态代码分析和遗传算法的方法。静态代码分析将帮助生成输入和断言参数之间的依赖关系,并定义影响断言的输入范围。遗传算法将优化测试生成,以获得更有效的断言覆盖率。实验结果表明,与随机模拟相比,我们的方法是有效的。
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Towards an efficient assertion based verification of SystemC designs
In this paper, we present an approach to verify efficiently assertions added on top of the SystemC library and based on the property specification language (PSL). In order to improve the assertion coverage, we also propose an approach based on both static code analysis and genetic algorithms. Static code analysis will help generate a dependency relation between inputs and assertion parameters as well as define the ranges of inputs affecting the assertion. The genetic algorithm will optimize the test generation to get more efficient coverage of the assertion. Experimental results illustrate the efficiency of our approach compared to random simulation.
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