Marine Data Observability using KPIS: An MDSE Approach. Lima, K., Iovino, L., Rossi, M. T., Heldal, R., Oyetoyan, T. D., & De Sanctis, M. In 2023 ACM/IEEE 26th International Conference on Model Driven Engineering Languages and Systems (MODELS), pages 24–35, October, 2023. IEEE.
Paper doi bibtex @inproceedings{10_1109_models58315_2023_00016, title={Marine Data Observability using KPIS: An MDSE Approach}, url={http://dx.doi.org/10.1109/models58315.2023.00016}, DOI={10.1109/models58315.2023.00016}, booktitle={2023 ACM/IEEE 26th International Conference on Model Driven Engineering Languages and Systems (MODELS)}, publisher={IEEE}, author={Lima, Keila and Iovino, Ludovico and Rossi, Maria Teresa and Heldal, Rogardt and Oyetoyan, Tosin Daniel and De Sanctis, Martina}, year={2023}, month=Oct, pages={24–35} }
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