A Survey of Federative Approaches for Model Management in MBSE

Model-based Systems Engineering (MBSE) advocates the use of models in every stage of development, leading to large number of models that need coordination, collaboration, and discipline management. Model Management (MoM) is a possible approach to manage inter-related collections of models among which Model Federation (MF) provides unique capabilities, like independence of development in individual modelling domains. There is currently a lack of studies about commonalities, variabilities, and gaps in MF approaches. In this paper, we propose a survey and a critical discussion of carefully selected papers about MF. From 59 contributions collected by experts in MoM, we selected, and classified, 23 papers. We extract the main trends we observed, according to our Classification. We then critically review the Classification, and discuss important gaps found in our corpus. The survey results and artefacts are all available online.

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Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1145/3652620.3688221
Citations
4
Primary Topic
Model-Driven Software Engineering Techniques
Type
article
Field-Weighted Citation Impact
1.94
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article

A Survey of Federative Approaches for Model Management in MBSE

Vasco Amaral, Sylvain Guérin, Miguel Goulão, Dominique Blouin et al.
4 citations
Model-Driven Software Engineering Techniques
1.94
article

A Survey of Federative Approaches for Model Management in MBSE

Vasco Amaral, Sylvain Guérin, Miguel Goulão, Dominique Blouin, Salvador Martínez, Anish Bhobe, Rakshit Mittal, Moussa Amrani, Yara Hallak
article en
4 citations

Abstract

Model-based Systems Engineering (MBSE) advocates the use of models in every stage of development, leading to large number of models that need coordination, collaboration, and discipline management. Model Management (MoM) is a possible approach to manage inter-related collections of models among which Model Federation (MF) provides unique capabilities, like independence of development in individual modelling domains. There is currently a lack of studies about commonalities, variabilities, and gaps in MF approaches. In this paper, we propose a survey and a critical discussion of carefully selected papers about MF. From 59 contributions collected by experts in MoM, we selected, and classified, 23 papers. We extract the main trends we observed, according to our Classification. We then critically review the Classification, and discuss important gaps found in our corpus. The survey results and artefacts are all available online.

Télécom Paris (FR), University of Antwerp (BE), University of Namur (BE), Université de Bretagne Occidentale (FR), University of Luxembourg (LU), IMT Atlantique (FR), Institut Polytechnique de Paris (FR), Universidade Nova de Lisboa (PT)
Openalex Percentile: Top 11%
Model-Driven Software Engineering Techniques
1.94
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A Survey of Federative Approaches for Model Management in MBSE — Vasco Amaral, Sylvain Guérin, et al. · (2024) | TGRS Research Map | TGRS