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Detection of Internal Stuck-open Faults in Scan Chains

Authors: Fan Yang 0060; Sreejit Chakravarty; Narendra Devta-Prasanna; Sudhakar M. Reddy; Irith Pomeranz;

Detection of Internal Stuck-open Faults in Scan Chains

Abstract

Nearly half of the transistors in the logic parts of large VLSI designs typically reside inside scan cells. Faults in scan cells may affect functional operation if left undetected. Such undetected faults may also affect the long term reliability of shipped products. Nevertheless, current test generation procedures do not directly target faults internal to the scan cells. Typically it is assumed that scan chain tests, called flush tests, test the scan cells sufficiently. We showed that flush tests applied at slower clock rates, called half-speed flush tests, and tests for scan cell inputs and outputs, detect stuck-at and stuck-on faults internal to scan cells to a similar extent as checking sequence based tests proposed earlier. In this work, we investigate the detection of opens in transistors internal to scan cells. A new flush test and a new method to apply flush tests are proposed to greatly enhance the coverage of opens. We also propose new scan based tests to further increase the coverage of opens. The proposed tests are shown to achieve the maximum possible coverage of opens in transistors internal to scan cells.

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selected citations
These citations are derived from selected sources.
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!
23
Top 10%
Top 10%
Top 10%
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