| Learning from what we know: How to perform vulnerability prediction using noisy historical data |
| English |
| Garg, Aayush [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)] |
| Degiovanni, Renzo Gaston [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal] |
| Jimenez, Matthieu [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)] |
| Cordy, Maxime [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal] |
| Papadakis, Mike [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)] |
| Le Traon, Yves [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal >] |
| 20-Sep-2022 |
| Empirical Software Engineering |
| Springer |
| Yes |
| 1382-3256 |
| 1573-7616 |
| Netherlands |
| http://hdl.handle.net/10993/45529 |
| https://github.com/garghub/TROVON |