A new algorithm for diagnosis-oriented automatic test pattern generation

P. Camurati, D. Medina, P. Prinetto, M. Sonza Reorda
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引用次数: 4

Abstract

Production testing does not only aim at detecting faulty devices, but its goals are often to repair the element or to investigate the cause of failure, so as to tune the manufacturing process. Diagnostic testing is thus becoming the object of attention both in industry and academia, thanks also to the increased power of tools like fault simulators, testability analysers, and ATPGs. Diagnostic testing has two aspects: assessing the diagnostic properties of a given test pattern set or generating test patterns having such properties. This paper deals with the latter aspect. An ATPG algorithm, the Delta -algorithm, generating a pattern able to distinguish between two faults, is described and its preliminary results obtained on a set of benchmark circuits are reported.<>
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一种面向诊断的测试模式自动生成算法
生产测试的目的不仅仅是检测有缺陷的设备,它的目标往往是修复元件或调查故障的原因,从而调整制造过程。诊断测试因此成为工业界和学术界关注的对象,这也得益于故障模拟器、可测试性分析仪和atpg等工具的日益强大。诊断测试有两个方面:评估给定测试模式集的诊断属性,或者生成具有这些属性的测试模式。本文讨论的是后一个方面。本文描述了一种ATPG算法,即Delta -算法,它产生了一种能够区分两个故障的模式,并报道了它在一组基准电路上的初步结果。
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