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On the superiority of DO-RE-ME/MPG-D over stuck-at-based defective part level prediction
Conference paper

On the superiority of DO-RE-ME/MPG-D over stuck-at-based defective part level prediction

Jennifer Dworak, Michael R. Grimaila, Brad Cobb, T.-C. Wang, L.-C. Wang and M. Ray Mercer
Proceedings of the Asian Test Symposium, pp.151-157
2000

Abstract

In this paper we use data collected from benchmark circuit simulations to examine the relationship between the tests which detect stuck-at faults and those which detect bridging surrogates. We show that the coefficient of correlation between these tests approaches zero as the stuck-at fault coverage approaches 100%. An enhanced version of the MPG-D model, which is based upon the number of detections of each site in a logic circuit, is shown to be superior to stuck-at fault coverage-based defective part level prediction. We then compare the accuracy of both predictors for an industrial circuit tested using two different test pattern sequences.

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