Dynamic data race prediction: fundamentals, theory, and practice (tutorial)

Umang Mathur 0001, Andreas Pavlogiannis. Dynamic data race prediction: fundamentals, theory, and practice (tutorial). In Abhik Roychoudhury, Cristian Cadar, Miryung Kim, editors, Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2022, Singapore, Singapore, November 14-18, 2022. pages 1820, ACM, 2022. [doi]

@inproceedings{0001P22-2,
  title = {Dynamic data race prediction: fundamentals, theory, and practice (tutorial)},
  author = {Umang Mathur 0001 and Andreas Pavlogiannis},
  year = {2022},
  doi = {10.1145/3540250.3569450},
  url = {https://doi.org/10.1145/3540250.3569450},
  researchr = {https://researchr.org/publication/0001P22-2},
  cites = {0},
  citedby = {0},
  pages = {1820},
  booktitle = {Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2022, Singapore, Singapore, November 14-18, 2022},
  editor = {Abhik Roychoudhury and Cristian Cadar and Miryung Kim},
  publisher = {ACM},
  isbn = {978-1-4503-9413-0},
}