Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-7939
Authors: Wunderlich, Hans-Joachim
Title: Multiple distributions for biased random test patterns
Issue Date: 1988
metadata.ubs.publikation.typ: Konferenzbeitrag
metadata.ubs.publikation.source: New frontiers in testing : proceedings. Washington, DC : IEEE Computer Soc. Pr., 1988. - ISBN 0-8186-0870-6, S. 236-244. URL http://dx.doi.org./10.1109/TEST.1988.207808
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-73417
http://elib.uni-stuttgart.de/handle/11682/7956
http://dx.doi.org/10.18419/opus-7939
Abstract: An efficient method has been presented to compute multiple distributions for random patterns, which can be applied successively. Using multiple distributions, all combinational circuits can be made random-testable, and complete fault coverage is provided by a few thousands of random patterns. The differently weighted random test sets can be applied to scan path circuits using an external chip, combining the advantages of a low cost test and of high fault coverage. Several facts about testing by random patterns have been proven. It has been shown that the number of random patterns required for a certain fault coverage can be computed without regarding the pseudorandom property and with the independence assumption for fault detection.
Appears in Collections:15 Fakultätsübergreifend / Sonstige Einrichtung

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