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Matthieu Jimenez
Matthieu Jimenez
SnT, University of Luxembourg
Verified email at jimenez.lu - Homepage
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Cited by
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Year
An architecture to support the collection of big data in the internet of things
C Cecchinel, M Jimenez, S Mosser, M Riveill
2014 IEEE World congress on services, 442-449, 2014
1912014
The importance of accounting for real-world labelling when predicting software vulnerabilities
M Jimenez, R Rwemalika, M Papadakis, F Sarro, Y Le Traon, M Harman
Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019
512019
Vulnerability prediction models: A case study on the linux kernel
M Jimenez, M Papadakis, Y Le Traon
2016 IEEE 16th International Working Conference on Source Code Analysis and …, 2016
502016
Analyzing complex data in motion at scale with temporal graphs
T Hartmann, F Fouquet, M Jimenez, R Rouvoy, Y Le Traon
KSI Research, 2017
382017
Profiling android vulnerabilities
M Jimenez, M Papadakis, TFDA Bissyande, J Klein
2016 IEEE International Conference on Software Quality, Reliability and …, 2016
382016
An empirical analysis of vulnerabilities in openssl and the linux kernel
M Jimenez, M Papadakis, Y Le Traon
2016 23rd Asia-Pacific Software Engineering Conference (APSEC), 105-112, 2016
292016
[Engineering Paper] Enabling the Continuous Analysis of Security Vulnerabilities with VulData7
M Jimenez, Y Le Traon, M Papadakis
2018 IEEE 18th International Working Conference on Source Code Analysis and …, 2018
242018
Are mutants really natural? A study on how “naturalness” helps mutant selection
M Jimenez, T Titcheu Chekam, M Cordy, M Papadakis, M Kintis, ...
12th International Symposium on Empirical Software Engineering and …, 2018
212018
On the impact of tokenizer and parameters on n-gram based code analysis
M Jimenez, C Maxime, Y Le Traon, M Papadakis
2018 IEEE International Conference on Software Maintenance and Evolution …, 2018
202018
Evaluating Vulnerability Prediction Models
M Jimenez
University of Luxembourg, Luxembourg, 2018
132018
Learning to predict vulnerabilities from vulnerability-fixes: A machine translation approach
A Garg, R Degiovanni, M Jimenez, M Cordy, M Papadakis, Y Le Traon
arXiv e-prints, arXiv: 2012.11701, 2020
62020
TUNA: TUning Naturalness-based Analysis
M Jimenez, M Cordy, Y Le Traon, M Papadakis
34th IEEE International Conference on Software Maintenance and Evolution …, 2018
62018
CodeBERT-nt: code naturalness via CodeBERT
A Khanfir, M Jimenez, M Papadakis, YL Traon
arXiv preprint arXiv:2208.06042, 2022
12022
Learning from what we know: How to perform vulnerability prediction using noisy historical data
A Garg, R Degiovanni, M Jimenez, M Cordy, M Papadakis, Y Le Traon
Empirical Software Engineering 27 (7), 1-30, 2022
2022
Faster and Cheaper Energy Demand Forecasting at Scale
F Bernier, M Jimenez, M Cordy, Y LE TRAON
Has it Trained Yet? NeurIPS 2022 Workshop, 0
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Articles 1–15