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http://dx.doi.org/10.18419/opus-12637
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DC Element | Wert | Sprache |
---|---|---|
dc.contributor.advisor | Wunderlich, Hans-Joachim (Prof.) | - |
dc.contributor.author | Lylina, Natalia | - |
dc.date.accessioned | 2023-01-19T09:30:39Z | - |
dc.date.available | 2023-01-19T09:30:39Z | - |
dc.date.issued | 2022 | de |
dc.identifier.other | 1831509679 | - |
dc.identifier.uri | http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-126566 | de |
dc.identifier.uri | http://elib.uni-stuttgart.de/handle/11682/12656 | - |
dc.identifier.uri | http://dx.doi.org/10.18419/opus-12637 | - |
dc.description.abstract | The dependability of modern devices is enhanced by integrating an extensive number of extra-functional instruments. These are needed to facilitate cost-efficient bring-up, debug, test, diagnosis, and adaptivity in the field and might include, e.g., sensors, aging monitors, Logic, and Memory Built-In Self-Test (BIST) registers. Reconfigurable Scan Networks (RSNs) provide a flexible way to access such instruments as well the device's registers throughout the lifetime, starting from post-silicon validation (PSV) through manufacturing test and finally during in-field operation. At the same time, the dependability properties of the system can be affected through an improper RSN integration. This doctoral project overcomes these problems and establishes a methodology to integrate dependable RSNs for a given system considering the most relevant dependability aspects, such as robustness, testability, and security compliance of RSNs. | en |
dc.language.iso | en | de |
dc.rights | info:eu-repo/semantics/openAccess | de |
dc.subject.ddc | 004 | de |
dc.subject.ddc | 620 | de |
dc.subject.ddc | 621.3 | de |
dc.title | Dependable reconfigurable scan networks | en |
dc.type | doctoralThesis | de |
ubs.dateAccepted | 2022-12-16 | - |
ubs.fakultaet | Informatik, Elektrotechnik und Informationstechnik | de |
ubs.institut | Institut für Technische Informatik | de |
ubs.publikation.seiten | xxvi, 200 | de |
ubs.publikation.typ | Dissertation | de |
ubs.thesis.grantor | Informatik, Elektrotechnik und Informationstechnik | de |
Enthalten in den Sammlungen: | 05 Fakultät Informatik, Elektrotechnik und Informationstechnik |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
---|---|---|---|---|
dissertation_Natalia_Lylina.pdf | 1,97 MB | Adobe PDF | Öffnen/Anzeigen |
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