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Error Sequence Analysis

Authors: Edward J. McCluskey; Jaekwang Lee; Intaik Park;

Error Sequence Analysis

Abstract

With increasing IC process variation and increased operating speed, it is more likely that even subtle defects will lead to the malfunctioning of a circuit. Various fault models, such as the transition fault model and the path-delay model, have been used to aid delay defect detection. However, these models are not efficient for small-delay defect coverage or for test pattern generation time. Error sequence analysis utilizes the order in which the errors occur during a frequency sweep of a transition test to identify small- delay defects that may escape the same test applied in the conventional way. Moreover, it can detect such defects even in the presence of inter-die process variations, such as lot-to-lot and wafer-to-wafer process variation. In addition, error sequence analysis is very effective in separating devices with delay defects from devices that have failed due to process variation.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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