Thinking Like a Developer? Comparing the Attention of Humans with Neural Models of Code. - Matteo Paltenghi; Michael Pradel (ASE, 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; et al. (Frontiers Big Data, 2021)

Cross-Platform Testing of Quantum Computing Platforms. - Matteo Paltenghi (ICSE-Companion, 2022)

MorphQ: Metamorphic Testing of Quantum Computing Platforms. - Matteo Paltenghi; Michael Pradel (CoRR, 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 001 (CoRR, 2022)

Bugs in Quantum computing platforms: an empirical study. - Matteo Paltenghi; Michael Pradel (Proc. ACM Program. Lang., 2022)

MorphQ: Metamorphic Testing of the Qiskit Quantum Computing Platform. - Matteo Paltenghi; Michael Pradel (ICSE, 2023)

Where to Look When Repairing Code? Comparing the Attention of Neural Models and Developers. - Dominik Huber; Matteo Paltenghi; Michael Pradel (CoRR, 2023)

Universal Fuzzing via Large Language Models. - Chunqiu Steven Xia; Matteo Paltenghi; Jia Le Tian; Michael Pradel; Lingming Zhang 001 (CoRR, 2023)

LintQ: A Static Analysis Framework for Qiskit Quantum Programs. - Matteo Paltenghi; Michael Pradel (CoRR, 2023)

Scaling Parameter-Constrained Language Models with Quality Data. - Ernie Chang; Matteo Paltenghi; Yang Li 183; Pin-Jie Lin; Changsheng Zhao 002; Patrick Huber; Zechun Liu; Rastislav Rabatin; Yangyang Shi; Vikas Chandra (EMNLP (Industry Track), 2024)

Fuzz4All: Universal Fuzzing with Large Language Models. - Chunqiu Steven Xia; Matteo Paltenghi; Jia Le Tian; Michael Pradel; Lingming Zhang 001 (ICSE, 2024)

A Survey on Testing and Analysis of Quantum Software. - Matteo Paltenghi; Michael Pradel (CoRR, 2024)

Analyzing Quantum Programs with LintQ: A Static Analysis Framework for Qiskit. - Matteo Paltenghi; Michael Pradel (Proc. ACM Softw. Eng., 2024)

Follow-Up Attention: An Empirical Study of Developer and Neural Model Code Exploration. - Matteo Paltenghi; Rahul Pandita; Austin Z. Henley; Albert Ziegler 001 (IEEE Trans. Software Eng., 2024)

QITE: Assembly-Level, Cross-Platform Testing of Quantum Computing Platforms. - Matteo Paltenghi; Michael Pradel (CoRR, 2025)