Profil

JIMENEZ Matthieu

University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

ORCID
0000-0003-4061-1108
Main Referenced Co-authors
LE TRAON, Yves  (11)
PAPADAKIS, Michail  (10)
CORDY, Maxime  (6)
KINTIS, Marinos  (2)
TITCHEU CHEKAM, Thierry  (2)
Main Referenced Keywords
Naturalness (2); Software Security (2); Source Code Analysis (2); Vulnerabilities (2); Android (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Security Design and Validation Research Group (SerVal) (4)
ULHPC - University of Luxembourg: High Performance Computing (2)
Main Referenced Disciplines
Computer science (13)

Publications (total 13)

The most downloaded
1475 downloads
JIMENEZ, M., PAPADAKIS, M., & LE TRAON, Y. (2016). Vulnerability Prediction Models: A case study on the Linux Kernel. In 16th IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2016, Raleigh, US, October 2-3, 2016. doi:10.1109/SCAM.2016.15 https://hdl.handle.net/10993/28259

The most cited

31 citations (Scopus®)

JIMENEZ, M., PAPADAKIS, M., & LE TRAON, Y. (2016). Vulnerability Prediction Models: A case study on the Linux Kernel. In 16th IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2016, Raleigh, US, October 2-3, 2016. doi:10.1109/SCAM.2016.15 https://hdl.handle.net/10993/28259

KHANFIR, A., JIMENEZ, M., PAPADAKIS, M., & LE TRAON, Y. (2022). CODEBERT-NT: code naturalness via CodeBERT. 22nd IEEE International Conference on Software Quality, Reliability and Security (QRS'22). doi:10.1109/QRS57517.2022.00098
Peer reviewed

BERNIER, F., JIMENEZ, M., CORDY, M., & LE TRAON, Y. (2022). Faster and Cheaper Energy Demand Forecasting at Scale. In Has it Trained Yet? Workshop at the Conference on Neural Information Processing Systems.
Peer reviewed

GARG, A., DEGIOVANNI, R. G., JIMENEZ, M., CORDY, M., PAPADAKIS, M., & LE TRAON, Y. (2022). Learning from what we know: How to perform vulnerability prediction using noisy historical data. Empirical Software Engineering. doi:10.1007/s10664-022-10197-4
Peer Reviewed verified by ORBi

JIMENEZ, M., TITCHEU CHEKAM, T., CORDY, M., PAPADAKIS, M., KINTIS, M., LE TRAON, Y., & Harman, M. (2018). Are mutants really natural? A study on how “naturalness” helps mutant selection. Proceedings of 12th International Symposium on 
 Empirical Software Engineering and Measurement (ESEM'18). doi:10.1145/3239235.3240500
Peer reviewed

JIMENEZ, M. (2018). Evaluating Vulnerability Prediction Models [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/36869

JIMENEZ, M., CORDY, M., LE TRAON, Y., & PAPADAKIS, M. (2018). TUNA: TUning Naturalness-based Analysis. In 34th IEEE International Conference on Software Maintenance and Evolution, Madrid, Spain, 26-28 September 2018.
Peer reviewed

JIMENEZ, M., CORDY, M., LE TRAON, Y., & PAPADAKIS, M. (September 2018). On the impact of tokenizer and parameters on N-gram based Code Analysis [Paper presentation]. 34th IEEE International Conference on Software Maintenance and Evolution (ICSME'18), Madrid, Spain.

JIMENEZ, M., LE TRAON, Y., & PAPADAKIS, M. (2018). Enabling the Continous Analysis of Security Vulnerabilities with VulData7. In IEEE International Working Conference on Source Code Analysis and Manipulation. doi:10.1109/SCAM.2018.00014
Peer reviewed

HARTMANN, T., FOUQUET, F., JIMENEZ, M., Rouvoy, R., & LE TRAON, Y. (2017). Analyzing Complex Data in Motion at Scale with Temporal Graphs. In Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering.
Peer reviewed

JIMENEZ, M., CORDY, M., KINTIS, M., TITCHEU CHEKAM, T., LE TRAON, Y., & PAPADAKIS, M. (2017). On the Naturalness of Mutants. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/35014.

JIMENEZ, M., PAPADAKIS, M., & LE TRAON, Y. (2016). An Empirical Analysis of Vulnerabilities in OpenSSL and the Linux Kernel. In 2016 Asia-Pacific Software Engineering Conference (APSEC).
Peer reviewed

JIMENEZ, M., PAPADAKIS, M., & LE TRAON, Y. (2016). Vulnerability Prediction Models: A case study on the Linux Kernel. In 16th IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2016, Raleigh, US, October 2-3, 2016. doi:10.1109/SCAM.2016.15
Peer reviewed

JIMENEZ, M., PAPADAKIS, M., BISSYANDE, T. F. D. A., & KLEIN, J. (2016). Profiling Android Vulnerabilities. In 2016 IEEE International Conference on Software Quality, Reliability and Security (QRS 2016) (pp. 222-229). IEEE Computer Society. doi:10.1109/QRS.2016.34
Peer reviewed

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