TY - GEN
T1 - A Survey of Federative Approaches for Model Management in MBSE
AU - Amrani, Moussa
AU - Mittal, Rakshit
AU - Goulão, Miguel
AU - Amaral, Vasco
AU - Guérin, Sylvain
AU - Martínez, Salvador
AU - Blouin, Dominique
AU - Bhobe, Anish
AU - Hallak, Yara
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2024/10/31
Y1 - 2024/10/31
N2 - 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.
AB - 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.
KW - Feature Model
KW - Literature Review
KW - Model Federation
KW - Model Management
KW - Model-Based Systems Engineering
UR - https://www.scopus.com/pages/publications/85212192836
U2 - 10.1145/3652620.3688221
DO - 10.1145/3652620.3688221
M3 - Conference contribution
AN - SCOPUS:85212192836
T3 - Proceedings: MODELS 2024 - ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
SP - 990
EP - 999
BT - Proceedings
PB - Association for Computing Machinery, Inc
T2 - 27th International Conference on Model Driven Engineering Languages and Systems, MODELS Companion 2024
Y2 - 22 September 2024 through 27 September 2024
ER -