Marine Data Observability using KPIS: An MDSE Approach

Keila Lima, Ludovico Iovino, Maria Teresa Rossi, Rogardt Heldal, Tosin Daniel Oyetoyan, Martina de Sanctis. Marine Data Observability using KPIS: An MDSE Approach. In 26th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2023, Västerås, Sweden, October 1-6, 2023. pages 24-35, IEEE, 2023. [doi]

@inproceedings{LimaIRHOS23,
  title = {Marine Data Observability using KPIS: An MDSE Approach},
  author = {Keila Lima and Ludovico Iovino and Maria Teresa Rossi and Rogardt Heldal and Tosin Daniel Oyetoyan and Martina de Sanctis},
  year = {2023},
  doi = {10.1109/MODELS58315.2023.00016},
  url = {https://doi.org/10.1109/MODELS58315.2023.00016},
  researchr = {https://researchr.org/publication/LimaIRHOS23},
  cites = {0},
  citedby = {0},
  pages = {24-35},
  booktitle = {26th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2023, Västerås, Sweden, October 1-6, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-2480-8},
}