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On the superiority of DO-RE-ME/MPG-D over stuck-at-based defective part level prediction
Taipei, Taiwan December 04-December 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ATS.2000.893618Ninth Asian Test Symposium (ATS'00)
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J. Dworak, Comput. Eng. Group, Texas A&M Univ., College Station, TX, USA
M.R. Grimaila, Comput. Eng. Group, Texas A&M Univ., College Station, TX, USA
B. Cobb, Comput. Eng. Group, Texas A&M Univ., College Station, TX, USA
T.-C. Wang, Comput. Eng. Group, Texas A&M Univ., College Station, TX, USA
L.-C. Wang, Comput. Eng. Group, Texas A&M Univ., College Station, TX, USA
M.R. Mercer, Comput. Eng. Group, Texas A&M Univ., College Station, TX, USA
Uses 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.
Index Terms:
circuit simulation; integrated logic circuits; integrated circuit testing; automatic test pattern generation; fault simulation; DO-RE-ME technique; MPG-D model; ATPG; defective part level prediction; benchmark circuit simulations; stuck-at fault detection tests; bridging surrogate detection; correlation coefficient; stuck-at fault coverage; logic circuit; predictor accuracy; industrial circuit; test pattern sequences
Citation:
J. Dworak, M.R. Grimaila, B. Cobb, T.-C. Wang, L.-C. Wang, M.R. Mercer, "On the superiority of DO-RE-ME/MPG-D over stuck-at-based defective part level prediction," ats, pp.151, Ninth Asian Test Symposium (ATS'00), 2000
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