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USING GENETIC ALGORITHMS TO DESIGN EFFICIENT BUILT-IN TEST PATTERN GENERATORS

机译:使用遗传算法设计高效的内置测试图案发生器

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A method of finding a structure of the Cellular Automata (CA) based on Genetic Algorithms (GA) is presented in the paper. The mentioned CA, henceforth denoted as DTI-LFSR (Intrainverted Linear Feedback Shift Register with D and T flip-flops), is composed of D and T flip-flops with either active-high or active-low inputs. The DTI-LFSR structure found by the GA should generate vector sequence containing at least some deterministic test patterns, which covers all or the majority of stuck-at faults in a given Circuit Under Test (CUT). Remaining faults, if any, are covered by the pseudo-random patterns produced by the same DTI-LFSR. The advantages that make the DTI-LFSR the efficient Test Pattern Generator (TPG) are short testing time, low area-overhead and high operating frequency.
机译:纸张介绍了一种基于遗传算法(GA)的蜂窝自动机(CA)的结构的方法。因此,提到的CA,即FTI-LFSR(带有D和T触发器的嵌入的线性反馈移位寄存器)由具有有效高或有效电源的D和T触发器组成。由GA发现的DTI-LFSR结构应该产生至少一些确定性测试模式的载体序列,其覆盖在被测电路(切割)的给定电路中的全部或大多数粘连的故障。如果有的话,剩余的故障(如果有的话)由相同的DTI-LFSR产生的伪随机模式覆盖。使DTI-LFSR高效测试图案发生器(TPG)的优点是短的测试时间,低区域开销和高工作频率。

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