RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning

Nelly Bencomo, Luis Hernán García Paucar. RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning. In Marouane Kessentini, Tao Yue, Alexander Pretschner, Sebastian Voss, Loli Burgueño, editors, 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2019, Munich, Germany, September 15-20, 2019. pages 216-226, IEEE, 2019. [doi]

@inproceedings{BencomoP19,
  title = {RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning},
  author = {Nelly Bencomo and Luis Hernán García Paucar},
  year = {2019},
  doi = {10.1109/MODELS.2019.00005},
  url = {https://doi.org/10.1109/MODELS.2019.00005},
  researchr = {https://researchr.org/publication/BencomoP19},
  cites = {0},
  citedby = {0},
  pages = {216-226},
  booktitle = {22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2019, Munich, Germany, September 15-20, 2019},
  editor = {Marouane Kessentini and Tao Yue and Alexander Pretschner and Sebastian Voss and Loli Burgueño},
  publisher = {IEEE},
  isbn = {978-1-7281-2536-7},
}