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引用次数: 11
摘要
在前人对CMOS电路中I/sub DDQ/桥接故障测试生成的研究中,采用了基于遗传算法(GA)的方法,将全对桥接故障集存储在紧表数据结构中。在本文中,我们的目标是一个简化的故障集,例如从电路布局中提取的故障集。对于全对集,简化后的故障集是O(N) vs O(N/sup 2/),其中N是晶体管网表中的节点数。对于测试生成的目的,当以简化的故障列表为目标时,发现线性列表数据结构比紧凑列表更有效。我们报告了基准电路的结果,说明使用减少的故障列表生成测试需要更少的时间,并且产生更紧凑的I/sub DDQ/测试集,具有更高的目标桥接故障覆盖率。同时考虑了遗传算法序列长度对测试生成次数和测试集质量的影响。
An efficient I/sub DDQ/ test generation scheme for bridging faults in CMOS digital circuits
In a previous work on test generation for I/sub DDQ/ bridging faults in CMOS circuits, a genetic algorithm (GA) based approach targeting the all-pair bridging fault set stored in a compact-list data structure was used. In this paper, we target a reduced fault set, such as the one extracted from circuit layout. The reduced fault set is O(N) versus O(N/sup 2/) for the all-pair set, where N is the number of nodes in the transistor netlist. For test generation purposes, a linear-list data structure is found to be more efficient than the compact-list when a reduced fault list is targeted. We report on results for benchmark circuits that illustrate that test generation using a reduced fault list takes less time and results in more compact I/sub DDQ/ test sets with higher fault coverage of targeted bridging faults. The effects of GA sequence lengths on test generation times and test set quality are also considered.