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dc.contributor.authorBronson, Janica Altea
dc.contributor.authorGaspar, Henrique Murilo
dc.contributor.authorHaskins, Cecilia
dc.contributor.authorAragao Fonseca, Icaro
dc.contributor.authorGarcia Agis, Jose Jorge
dc.date.accessioned2024-11-19T14:07:59Z
dc.date.available2024-11-19T14:07:59Z
dc.date.issued2024-08-09
dc.description.abstractThis paper aims to contribute to understanding how physically large and complex systems of systems (SoS) can be digitally modeled. Ensuring the modeled SoS accurately represents real-world systems is challenging. Due to the significant amount of interaction these models have with the actors using them throughout the design lifecycle, their reliability can often be unpredictable and typically degrade unless constant verification and quality assurance protocols are followed. This paper aims to shed light on ways to address this concern, particularly by gleaming into how information systems (IS) can be made robust to aid in making data models less vulnerable to change.en_US
dc.identifier.citationBronson, Gaspar, Haskins, Aragao Fonseca, Garcia Agis: Robust Digital Information for Physically Large and Complex SoS: A Maritime Design Case Study. In: NN N. 2024 19th Annual System of Systems Engineering Conference (SoSE), 2024. IEEE conference proceedingsen_US
dc.identifier.cristinIDFRIDAID 2317157
dc.identifier.doi10.1109/SOSE62659.2024.10620954
dc.identifier.isbn979-8-3503-6591-7
dc.identifier.issn2835-3161
dc.identifier.urihttps://hdl.handle.net/10037/35783
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2024 The Author(s)en_US
dc.titleRobust Digital Information for Physically Large and Complex SoS: A Maritime Design Case Studyen_US
dc.type.versionacceptedVersionen_US
dc.typeChapteren_US
dc.typeBokkapittelen_US


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