Reference : Learning from what we know: How to perform vulnerability prediction using noisy histo...
Scientific journals : Article
Engineering, computing & technology : Computer science
Security, Reliability and Trust
http://hdl.handle.net/10993/45529
Learning from what we know: How to perform vulnerability prediction using noisy historical data
English
Garg, Aayush mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)]
Degiovanni, Renzo Gaston mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal]
Jimenez, Matthieu mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)]
Cordy, Maxime mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal]
Papadakis, Mike mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)]
Le Traon, Yves mailto [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

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