使用高级综合信息提高行为错误模型的准确性

Marco Brera, Fabrizio Ferrandi, D. Sciuto, F. Fummi
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引用次数: 5

摘要

本文提出了一种通过考虑高层信息和逻辑综合信息来提高行为测试生成效率的方法,以增加行为故障模型和卡在故障模型之间的相关性。特别是,我们主要考虑两种类型的信息:高级操作符与RTL模块之间的映射以及RTL模块采用的门级实现类型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Increase the behavioral fault model accuracy using high-level synthesis information
This paper describes an approach for enhancing the effectiveness of behavioral test generation by considering high-level and logic synthesis information to increase the correlation between the behavioral fault model and the stuck-at-fault model. In particular we mainly consider two types of information: the mapping between high-level operators and RTL modules and the type of gate level implementation adopted by the RTL modules.
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