On the Use of Causal Graphical Models for Designing Experiments in the Automotive Domain

David Issa Mattos, Yuchu Liu. On the Use of Causal Graphical Models for Designing Experiments in the Automotive Domain. In Miroslaw Staron, Christian Berger 0001, Jocelyn Simmonds, Rafael Prikladnicki, editors, EASE 2022: The International Conference on Evaluation and Assessment in Software Engineering 2022, Gothenburg, Sweden, June 13 - 15, 2022. pages 264-265, ACM, 2022. [doi]

@inproceedings{MattosL22,
  title = {On the Use of Causal Graphical Models for Designing Experiments in the Automotive Domain},
  author = {David Issa Mattos and Yuchu Liu},
  year = {2022},
  doi = {10.1145/3530019.3534979},
  url = {https://doi.org/10.1145/3530019.3534979},
  researchr = {https://researchr.org/publication/MattosL22},
  cites = {0},
  citedby = {0},
  pages = {264-265},
  booktitle = {EASE 2022: The International Conference on Evaluation and Assessment in Software Engineering 2022, Gothenburg, Sweden, June 13 - 15, 2022},
  editor = {Miroslaw Staron and Christian Berger 0001 and Jocelyn Simmonds and Rafael Prikladnicki},
  publisher = {ACM},
  isbn = {978-1-4503-9613-4},
}