最大距离测试

Shiyi Xu, Jia-bi Chen
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引用次数: 14

摘要

随机测试已经在软件和硬件测试中使用了多年。众所周知,在随机测试中,每个测试都需要随机选择,而不管之前生成的测试是什么。然而,随机测试可能是低效的,因为它的随机选择的测试模式。本文在随机测试的基础上,引入了VLSI电路的最大距离测试(MDT)的概念,即选择所有测试模式之间的总距离最大,从而使一个测试模式检测到的故障集尽可能不同于先前应用的测试所检测到的故障集。详细描述了最大距离测试序列(MDTS)的构造过程。在Benchmark和其他电路上的实验结果也验证了我们的方法的性能。
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Maximum distance testing
Random testing has been used for years in both software and hardware testing. It is well known that in random testing each test requires to be selected randomly regardless of the tests previously generated. However, random testing could be inefficient for its random selection of test patterns. This paper, based on random testing, introduces the concept of Maximum Distance Testing (MDT) for VLSI circuits in which the total distance among all test patterns is chosen maximal so that the set of faults detected by one test pattern is as different as possible from that of faults detected by the tests previously applied. The procedure for constructing a Maximum Distance Testing Sequence (MDTS) is described in detail. Experimental results on Benchmark as well as other circuits are also given to evaluate the performances of our new approach.
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