Automatically assessing vulnerabilities discovered by compositional analysis

Saahil Ognawala, Ricardo Nales Amato, Alexander Pretschner, Pooja Kulkarni. Automatically assessing vulnerabilities discovered by compositional analysis. In Gilles Perrouin, Mathieu Acher, Maxime Cordy, Xavier Devroey, editors, Proceedings of the 1st International Workshop on Machine Learning and Software Engineering in Symbiosis, MASES@ASE 2018, Montpellier, France, September 3, 2018. pages 16-25, ACM, 2018. [doi]

@inproceedings{OgnawalaAPK18,
  title = {Automatically assessing vulnerabilities discovered by compositional analysis},
  author = {Saahil Ognawala and Ricardo Nales Amato and Alexander Pretschner and Pooja Kulkarni},
  year = {2018},
  doi = {10.1145/3243127.3243130},
  url = {https://doi.org/10.1145/3243127.3243130},
  researchr = {https://researchr.org/publication/OgnawalaAPK18},
  cites = {0},
  citedby = {0},
  pages = {16-25},
  booktitle = {Proceedings of the 1st International Workshop on Machine Learning and Software Engineering in Symbiosis, MASES@ASE 2018, Montpellier, France, September 3, 2018},
  editor = {Gilles Perrouin and Mathieu Acher and Maxime Cordy and Xavier Devroey},
  publisher = {ACM},
}