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2020 – today
- 2024
[j4]Matteo Paltenghi
, Michael Pradel:
Analyzing Quantum Programs with LintQ: A Static Analysis Framework for Qiskit. Proc. ACM Softw. Eng. 1(FSE): 2144-2166 (2024)- [j3]Matteo Paltenghi, Rahul Pandita, Austin Z. Henley, Albert Ziegler:
Follow-Up Attention: An Empirical Study of Developer and Neural Model Code Exploration. IEEE Trans. Software Eng. 50(10): 2568-2582 (2024) - [c4]Chunqiu Steven Xia, Matteo Paltenghi, Jia Le Tian, Michael Pradel, Lingming Zhang:
Fuzz4All: Universal Fuzzing with Large Language Models. ICSE 2024: 126:1-126:13 - [i8]Matteo Paltenghi, Michael Pradel:
A Survey on Testing and Analysis of Quantum Software. CoRR abs/2410.00650 (2024) - [i7]Ernie Chang, Matteo Paltenghi, Yang Li, Pin-Jie Lin, Changsheng Zhao, Patrick Huber, Zechun Liu, Rastislav Rabatin, Yangyang Shi, Vikas Chandra:
Scaling Parameter-Constrained Language Models with Quality Data. CoRR abs/2410.03083 (2024) - 2023
- [c3]Matteo Paltenghi, Michael Pradel:
MorphQ: Metamorphic Testing of the Qiskit Quantum Computing Platform. ICSE 2023: 2413-2424 - [i6]Dominik Huber, Matteo Paltenghi, Michael Pradel:
Where to Look When Repairing Code? Comparing the Attention of Neural Models and Developers. CoRR abs/2305.07287 (2023) - [i5]Chunqiu Steven Xia, Matteo Paltenghi, Jia Le Tian, Michael Pradel, Lingming Zhang:
Universal Fuzzing via Large Language Models. CoRR abs/2308.04748 (2023) - [i4]Matteo Paltenghi, Michael Pradel:
LintQ: A Static Analysis Framework for Qiskit Quantum Programs. CoRR abs/2310.00718 (2023) - 2022
- [j2]Matteo Paltenghi, Michael Pradel:
Bugs in Quantum computing platforms: an empirical study. Proc. ACM Program. Lang. 6(OOPSLA1): 1-27 (2022) - [c2]Matteo Paltenghi:
Cross-Platform Testing of Quantum Computing Platforms. ICSE-Companion 2022: 269-271 - [i3]Matteo Paltenghi, Michael Pradel:
MorphQ: Metamorphic Testing of Quantum Computing Platforms. CoRR abs/2206.01111 (2022) - [i2]Matteo Paltenghi, Rahul Pandita, Austin Z. Henley, Albert Ziegler:
Extracting Meaningful Attention on Source Code: An Empirical Study of Developer and Neural Model Code Exploration. CoRR abs/2210.05506 (2022) - 2021
- [j1]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:
Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence. Frontiers Big Data 4: 753409 (2021) - [c1]Matteo Paltenghi, Michael Pradel:
Thinking Like a Developer? Comparing the Attention of Humans with Neural Models of Code. ASE 2021: 867-879 - [i1]Matteo Paltenghi, Michael Pradel:
Bugs in Quantum Computing Platforms: An Empirical Study. CoRR abs/2110.14560 (2021)
Coauthor Index
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last updated on 2024-11-08 21:31 CET by the dblp team
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