Enhanced 3-valued logic/fault simulation for full scan circuits using implicit logic values

S. Kajihara, K. Saluja, S. Reddy
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引用次数: 14

Abstract

When test vectors for a full scan logic circuit include unspecified values, conventional 3-valued fault simulation may not compute the exact fault coverage for single stuck-at faults. This paper first addresses the incompleteness of logic/fault simulation based on the conventional 3-valued logic. Then we propose an enhanced method of logic/fault simulation to compute more accurate fault coverage using implicit logic values. The proposed method employs indirect implications. We also propose a new learning criterion to identify indirect implications that are not identified by earlier static learning procedure. Since some indirect implications derived from a fault-free circuit become invalid in the presence of a fault, we use a sufficient condition for an indirect implication to remain valid for the faulty circuit, and give an efficient procedure for more accurate fault simulation. Experimental results demonstrate that the proposed method reduces the number of unknown values at the circuit outputs in logic simulation, and hence it discovers several detected faults that are not declared as detected by the conventional fault simulation.
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增强的3值逻辑/故障模拟全扫描电路使用隐式逻辑值
当全扫描逻辑电路的测试向量包含未指定值时,传统的三值故障模拟可能无法计算出单个卡死故障的准确故障覆盖率。本文首先解决了基于传统三值逻辑的逻辑/故障仿真的不完全性问题。然后,我们提出了一种改进的逻辑/故障模拟方法,利用隐式逻辑值计算更准确的故障覆盖率。所建议的方法采用了间接影响。我们还提出了一个新的学习标准,以识别未被早期静态学习过程识别的间接影响。由于从无故障电路中得到的一些间接暗示在故障存在时失效,我们使用了间接暗示对故障电路保持有效的充分条件,并给出了一个更准确的故障模拟的有效程序。实验结果表明,该方法减少了逻辑仿真中电路输出端未知值的数量,从而发现了一些传统故障仿真无法检测到的故障。
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