2021 IEEE Aerospace Conference (50100) 2021
DOI: 10.1109/aero50100.2021.9438186
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Europa Clipper: MBSE Proving Ground

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Cited by 7 publications
(4 citation statements)
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“…OML serves as the core ontological language for the GitWorks platform and was originally developed by the Jet Propulsion Laboratory as part of the CAESAR project (Wagner et al 2020). One of the goals of CAESAR has been to provide a set of OML vocabularies that capture some of the common concepts and relations used in systems engineering (Bayer et al 2021). OML provides a foundation with well-defined semantics that can be used to model different types of engineering artifacts in a semantically consistent and interoperable fashion.…”
Section: Conceptual System Architecturementioning
confidence: 99%
“…OML serves as the core ontological language for the GitWorks platform and was originally developed by the Jet Propulsion Laboratory as part of the CAESAR project (Wagner et al 2020). One of the goals of CAESAR has been to provide a set of OML vocabularies that capture some of the common concepts and relations used in systems engineering (Bayer et al 2021). OML provides a foundation with well-defined semantics that can be used to model different types of engineering artifacts in a semantically consistent and interoperable fashion.…”
Section: Conceptual System Architecturementioning
confidence: 99%
“…Initially, the scope of MBSE encompassed modeling the architecture and requirements (Dubos et al, 2016). But after the Preliminary Design Review, it was decided to shift from MBSE back to a traditional documents-based approach (Bayer et al, 2021). While Power-, Thermal-, and Mass Budget were kept in openCaesar, architecture and requirements are since being designed in the traditional (i.e., not MBSE) way again.…”
Section: Existing Graph Schemata For Sysml and Umlmentioning
confidence: 99%
“…The reason fell as 5 years into the mission’s development still only a partial implementation of the modeling tool and model existed which would not do. In a dedicated lessons-learned paper, Bayer et al reflect on the reasons for this failed application of MBSE (Bayer et al, 2021). They come to the conclusion that workforce training, creation of tutorials, writing the software framework, and applying these measures on a running project were simply too much to maintain a working and consistent system model.…”
Section: Introductionmentioning
confidence: 99%
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