dc.contributor.author | Gallina, Barbara | |
dc.contributor.author | Montecchi, Leonardo | |
dc.contributor.author | De Oliveira, André Luiz | |
dc.contributor.author | Bressan, Lucas | |
dc.date.accessioned | 2023-03-02T15:16:46Z | |
dc.date.available | 2023-03-02T15:16:46Z | |
dc.date.created | 2022-06-28T18:09:44Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | IEEE Software. 2022, 39 (4), 39-47. | en_US |
dc.identifier.issn | 0740-7459 | |
dc.identifier.uri | https://hdl.handle.net/11250/3055515 | |
dc.description.abstract | To 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.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.title | Multiconcern, Dependability-Centered Assurance Via a Qualitative and Quantitative Coanalysis | en_US |
dc.title.alternative | Multiconcern, Dependability-Centered Assurance Via a Qualitative and Quantitative Coanalysis | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | Copyright © 2022 IEEE | en_US |
dc.source.pagenumber | 39-47 | en_US |
dc.source.volume | 39 | en_US |
dc.source.journal | IEEE Software | en_US |
dc.source.issue | 4 | en_US |
dc.identifier.doi | 10.1109/MS.2022.3167370 | |
dc.identifier.cristin | 2035898 | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |