Mutation-based diagnostic test generation for hardware design error diagnosis

Shujun Deng, K. Cheng, Jinian Bian, Zhiqiu Kong
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引用次数: 4

Abstract

We propose the use of mutation-based error injection to guide the generation of high-quality diagnostic test patterns. A software-based fault localization technique is employed to derive a ranked candidate list of suspect statements. Experimental results for a set of Verilog designs demonstrate that a finer diagnostic resolution can be achieved by patterns generated by the proposed method.
基于突变的硬件设计错误诊断测试生成
我们建议使用基于突变的错误注入来指导高质量诊断测试模式的生成。采用基于软件的故障定位技术推导出可疑语句的排序候选列表。一组Verilog设计的实验结果表明,由所提出的方法产生的模式可以实现更好的诊断分辨率。
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