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dc.contributor.authorGallina, Barbara
dc.contributor.authorMontecchi, Leonardo
dc.contributor.authorDe Oliveira, André Luiz
dc.contributor.authorBressan, Lucas
dc.date.accessioned2023-03-02T15:16:46Z
dc.date.available2023-03-02T15:16:46Z
dc.date.created2022-06-28T18:09:44Z
dc.date.issued2022
dc.identifier.citationIEEE Software. 2022, 39 (4), 39-47.en_US
dc.identifier.issn0740-7459
dc.identifier.urihttps://hdl.handle.net/11250/3055515
dc.description.abstractTo contribute to multiconcern assurance, we focus on system design and present a high-level process that builds on top of the synergy between qualitative and quantitative dependability analysis techniques, which have been used for mono- as well as multiconcern analysis.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.titleMulticoncern, Dependability-Centered Assurance Via a Qualitative and Quantitative Coanalysisen_US
dc.title.alternativeMulticoncern, Dependability-Centered Assurance Via a Qualitative and Quantitative Coanalysisen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holderCopyright © 2022 IEEEen_US
dc.source.pagenumber39-47en_US
dc.source.volume39en_US
dc.source.journalIEEE Softwareen_US
dc.source.issue4en_US
dc.identifier.doi10.1109/MS.2022.3167370
dc.identifier.cristin2035898
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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