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Matteo Paltenghi
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Year
Fuzz4all: Universal fuzzing with large language models
CS Xia, M Paltenghi, J Le Tian, M Pradel, L Zhang
Proc. IEEE/ACM ICSE, 2024
43*2024
Bugs in quantum computing platforms: an empirical study
M Paltenghi, M Pradel
Proceedings of the ACM on Programming Languages 6 (OOPSLA1), 1-27, 2022
292022
Thinking Like a Developer? Comparing the Attention of Humans with Neural Models of Code
M Paltenghi, M Pradel
36th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
272021
MorphQ: Metamorphic testing of the Qiskit quantum computing platform
M Paltenghi, M Pradel
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023
112023
Extracting meaningful attention on source code: An empirical study of developer and neural model code exploration
M Paltenghi, R Pandita, AZ Henley, A Ziegler
arXiv preprint arXiv:2210.05506, 2022
52022
Where to look when repairing code? comparing the attention of neural models and developers
D Huber, M Paltenghi, M Pradel
arXiv preprint arXiv:2305.07287, 2023
42023
Preparing distributed computing operations for the hl-lhc era with operational intelligence
A Di Girolamo, F Legger, P Paparrigopoulos, J Schovancová, ...
Frontiers in big Data 4, 753409, 2022
42022
Anomaly detection in the CERN cloud infrastructure
D Giordano, M Paltenghi, S Metaj, A Dvorak
EPJ Web of Conferences 251, 02011, 2021
42021
Time Series Anomaly Detection for CERN Large-Scale Computing Infrastructure
M Paltenghi
Politecnico di Milano, Technical University of Berlin, CERN, 2020
22020
Cross-platform testing of quantum computing platforms
M Paltenghi
Proceedings of the ACM/IEEE 44th International Conference on Software …, 2022
12022
LintQ: A Static Analysis Framework for Qiskit Quantum Programs
M Paltenghi, M Pradel
arXiv preprint arXiv:2310.00718, 2023
2023
Understanding Neural Models of Code
M Paltenghi
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Articles 1–12