Enhanced DO-RE-ME Based Defect Level Prediction Using Defect Site Aggregation-MPG-D

  • Authors:
  • Jennifer Dworak;Micheal R. Grimaila;Sooryong Lee;Li-C. Wang;M. Ray Mecer

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • ITC '00 Proceedings of the 2000 IEEE International Test Conference
  • Year:
  • 2000

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Abstract

Predicting the final value of the defective part level afterthe application of a set of test vectors is not a simple problem.In order for the defective part level to decrease,both the excitation and observation of defects must occur.This research shows that the probability of the exciting anas yet undetected defect does indeed decrease exponentiallyas the number of observations increases.In addition, a newdefective part level model is proposed which accurately predicts the final defective part level (even at high fault coverages) for several benchmark circuits and which continuesto provide good predictions even as changes are made in the set of test patterns applied.