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Robust Digital Information for Physically Large and Complex SoS: A Maritime Design Case Study

Permanent link
https://hdl.handle.net/10037/35783
DOI
https://doi.org/10.1109/SOSE62659.2024.10620954
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SOSE_2024_accepted.pdf (427.0Kb)
Accepted manuscript version (PDF)
Date
2024-08-09
Type
Chapter
Bokkapittel

Author
Bronson, Janica Altea; Gaspar, Henrique Murilo; Haskins, Cecilia; Aragao Fonseca, Icaro; Garcia Agis, Jose Jorge
Abstract
This 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.
Publisher
IEEE
Citation
Bronson, 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 proceedings
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Copyright 2024 The Author(s)

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