Matteo Paltenghi

According to our database, Matteo Paltenghi authored at least 10 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

LintQ: A Static Analysis Framework for Qiskit Quantum Programs.

Matteo Paltenghi, Michael Pradel

CoRR, 2023

Universal Fuzzing via Large Language Models.

Chunqiu Steven Xia, Matteo Paltenghi, Jia Le Tian, Michael Pradel, Lingming Zhang

CoRR, 2023

Where to Look When Repairing Code? Comparing the Attention of Neural Models and Developers.

Dominik Huber, Matteo Paltenghi, Michael Pradel

CoRR, 2023

MorphQ: Metamorphic Testing of the Qiskit Quantum Computing Platform.

Matteo Paltenghi, Michael Pradel

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

Bugs in Quantum computing platforms: an empirical study.

Matteo Paltenghi, Michael Pradel

Proc. ACM Program. Lang., 2022

Extracting Meaningful Attention on Source Code: An Empirical Study of Developer and Neural Model Code Exploration.

Matteo Paltenghi, Rahul Pandita, Austin Z. Henley, Albert Ziegler

CoRR, 2022

MorphQ: Metamorphic Testing of Quantum Computing Platforms.

Matteo Paltenghi, Michael Pradel

CoRR, 2022

Cross-Platform Testing of Quantum Computing Platforms.

Matteo Paltenghi

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

2021

Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence.

Alessandro Di Girolamo, Federica Legger, Panos Paparrigopoulos, Jaroslava Schovancová, Thomas Beermann, Michael Boehler, Daniele Bonacorsi, Luca Clissa, Leticia Decker de Sousa, Tommaso Diotalevi, Luca Giommi, Maria Grigorieva, Domenico Giordano, David Hohn, Tomas Javurek, Stephane Jezequel, Valentin Kuznetsov, Mario Lassnig, Vasilis Mageirakos, Micol Olocco, Siarhei Padolski, Matteo Paltenghi, Lorenzo Rinaldi, Mayank Sharma, Simone Rossi Tisbeni, Nikodemas Tuckus

Frontiers Big Data, 2021

Thinking Like a Developer? Comparing the Attention of Humans with Neural Models of Code.

Matteo Paltenghi, Michael Pradel

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021