Learning from what we know: How to perform vulnerability prediction using noisy historical data

Aayush Garg, Renzo Degiovanni, Matthieu Jimenez, Maxime Cordy, Mike Papadakis, Yves Le Traon. Learning from what we know: How to perform vulnerability prediction using noisy historical data. Empirical Software Engineering, 27(7):169, 2022. [doi]

@article{GargDJCPT22,
  title = {Learning from what we know: How to perform vulnerability prediction using noisy historical data},
  author = {Aayush Garg and Renzo Degiovanni and Matthieu Jimenez and Maxime Cordy and Mike Papadakis and Yves Le Traon},
  year = {2022},
  doi = {10.1007/s10664-022-10197-4},
  url = {https://doi.org/10.1007/s10664-022-10197-4},
  researchr = {https://researchr.org/publication/GargDJCPT22},
  cites = {0},
  citedby = {0},
  journal = {Empirical Software Engineering},
  volume = {27},
  number = {7},
  pages = {169},
}