dc.creatorPatino O.A.
dc.creatorMartínez-Santos, Juan Carlos
dc.date.accessioned2020-03-26T16:32:37Z
dc.date.available2020-03-26T16:32:37Z
dc.date.created2020-03-26T16:32:37Z
dc.date.issued2017
dc.identifierLATS 2017 - 18th IEEE Latin-American Test Symposium
dc.identifier9781538604151
dc.identifierhttps://hdl.handle.net/20.500.12585/8935
dc.identifier10.1109/LATW.2017.7906754
dc.identifierUniversidad Tecnológica de Bolívar
dc.identifierRepositorio UTB
dc.identifier57192643059
dc.identifier26325154200
dc.description.abstractThe stuck-at faults are basic faults that fail the chips. Various defects in the circuit can develop into stuck-at faults. To detect more defects caused by stuck-at faults, some of the fault sites may need to be detected multiple times. Thus, the existing pattern generation techniques provide N-detect ATPG, where each fault site would not be removed from the fault list before it is detected for N times. The "N" value is determined empirically by the criticality of the application. The N-detect test has been shown to have a higher quality of detecting defects. However, the traditional N-detect test does not necessarily exploit the localized characteristics of defects. In addition, it may result in a large number of patterns. In this paper, we present a test pattern selection procedure to optimize the N-detect pattern generation by differentiating the fault sites according to the physical details and generate patterns that have comparable defect detection quality with N-detect pattern generation. © 2017 IEEE.
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation13 March 2017 through 15 March 2017
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rightsAtribución-NoComercial 4.0 Internacional
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85020204386&doi=10.1109%2fLATW.2017.7906754&partnerID=40&md5=f39f0b80301eafeb6c02c50d94aa98a6
dc.sourceScopus2-s2.0-85020204386
dc.source18th IEEE Latin-American Test Symposium, LATS 2017
dc.titlePhysical-aware pattern selection for stuck-at faults


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