Should We Learn Probabilistic Models for Model Checking? A New Approach and An Empirical Study

Jingyi Wang, Jun Sun 0001, Qixia Yuan, Jun Pang. Should We Learn Probabilistic Models for Model Checking? A New Approach and An Empirical Study. In Marieke Huisman, Julia Rubin, editors, Fundamental Approaches to Software Engineering - 20th International Conference, FASE 2017, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2017, Uppsala, Sweden, April 22-29, 2017, Proceedings. Volume 10202 of Lecture Notes in Computer Science, pages 3-21, Springer, 2017. [doi]

@inproceedings{Wang0YP17,
  title = {Should We Learn Probabilistic Models for Model Checking? A New Approach and An Empirical Study},
  author = {Jingyi Wang and Jun Sun 0001 and Qixia Yuan and Jun Pang},
  year = {2017},
  doi = {10.1007/978-3-662-54494-5_1},
  url = {http://dx.doi.org/10.1007/978-3-662-54494-5_1},
  researchr = {https://researchr.org/publication/Wang0YP17},
  cites = {0},
  citedby = {0},
  pages = {3-21},
  booktitle = {Fundamental Approaches to Software Engineering - 20th International Conference, FASE 2017, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2017, Uppsala, Sweden, April 22-29, 2017, Proceedings},
  editor = {Marieke Huisman and Julia Rubin},
  volume = {10202},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-662-54493-8},
}