Legal documents categorization by compression. - Antonio Mastropaolo; Francesco Pallante; Daniele Paolo Radicioni (ICAIL, 2013)

Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks. - Antonio Mastropaolo; Simone Scalabrino; Nathan Cooper; David Nader-Palacio; Denys Poshyvanyk; Rocco Oliveto; Gabriele Bavota (ICSE, 2021)

An Empirical Study on Code Comment Completion. - Antonio Mastropaolo; Emad Aghajani; Luca Pascarella; Gabriele Bavota (ICSME, 2021)

An Adaptive Search Budget Allocation Approach for Search-Based Test Case Generation. - Simone Scalabrino; Antonio Mastropaolo; Gabriele Bavota; Rocco Oliveto (ACM Trans. Softw. Eng. Methodol., 2021)

Using Deep Learning to Generate Complete Log Statements. - Antonio Mastropaolo; Luca Pascarella; Gabriele Bavota (ICSE, 2022)

Using Pre-Trained Models to Boost Code Review Automation. - Rosalia Tufano; Simone Masiero; Antonio Mastropaolo; Luca Pascarella; Denys Poshyvanyk; Gabriele Bavota (ICSE, 2022)

An Empirical Study on the Usage of Transformer Models for Code Completion. - Matteo Ciniselli; Nathan Cooper; Luca Pascarella; Antonio Mastropaolo; Emad Aghajani; Denys Poshyvanyk; Massimiliano Di Penta; Gabriele Bavota (IEEE Trans. Software Eng., 2022)

Replication package for "An Empirical Study on the Usage of Transformer Models for Code Completion". - Matteo Ciniselli; Nathan Cooper; Luca Pascarella; Antonio Mastropaolo; Emad Aghajani; Denys Poshyvanyk; Massimiliano Di Penta; Gabriele Bavota (Zenodo, 2022)

Replication Package for: An Empirical Study on Code Comment Completion. - Antonio Mastropaolo; Emad Aghajani; Luca Pascarella; Gabriela Bavota (Zenodo, 2022)

Replication Package for: Using Deep Learning to Generate Complete Log Statements. - Antonio Mastropaolo; Luca Pascarella; Gabriele Bavota (Zenodo, 2022)

Replication Package for: Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks. - Antonio Mastropaolo; Simone Scalabrino; Nathan Cooper; David Nader-Palacio; Denys Poshyvanyk; Rocco Oliveto; Gabriele Bavota (Zenodo, 2022)

On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot. - Antonio Mastropaolo; Luca Pascarella; Emanuela Guglielmi; Matteo Ciniselli; Simone Scalabrino; Rocco Oliveto; Gabriele Bavota (ICSE, 2023)

Automatically Generating Dockerfiles via Deep Learning: Challenges and Promises. - Giovanni Rosa; Antonio Mastropaolo; Simone Scalabrino; Gabriele Bavota; Rocco Oliveto (ICSSP, 2023)

Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We? - Antonio Mastropaolo; Massimiliano Di Penta; Gabriele Bavota (ASE, 2023)

Automated variable renaming: are we there yet? - Antonio Mastropaolo; Emad Aghajani; Luca Pascarella; Gabriele Bavota (Empir. Softw. Eng., 2023)

Using Transfer Learning for Code-Related Tasks. - Antonio Mastropaolo; Nathan Cooper; David Nader-Palacio; Simone Scalabrino; Denys Poshyvanyk; Rocco Oliveto; Gabriele Bavota (IEEE Trans. Software Eng., 2023)

Dataset of the paper: "How do Hugging Face Models Document Datasets, Bias, and Licenses? An Empirical Study". - Federica Pepe; Vittoria Nardone; Antonio Mastropaolo; Gerardo Canfora; Gabriele Bavota; Massimiliano Di Penta (Zenodo, 2023)

How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching. - Antonio Mastropaolo; Vittoria Nardone; Gabriele Bavota; Massimiliano Di Penta (EASE, 2024)

Evaluating Code Summarization Techniques: A New Metric and an Empirical Characterization. - Antonio Mastropaolo; Matteo Ciniselli; Massimiliano Di Penta; Gabriele Bavota (ICSE, 2024)

Toward Automatically Completing GitHub Workflows. - Antonio Mastropaolo; Fiorella Zampetti; Gabriele Bavota; Massimiliano Di Penta (ICSE, 2024)

A Taxonomy of Self-Admitted Technical Debt in Deep Learning Systems. - Federica Pepe; Fiorella Zampetti; Antonio Mastropaolo; Gabriele Bavota; Massimiliano Di Penta (ICSME, 2024)

Towards Summarizing Code Snippets Using Pre-Trained Transformers. - Antonio Mastropaolo; Matteo Ciniselli; Luca Pascarella; Rosalia Tufano; Emad Aghajani; Gabriele Bavota (ICPC, 2024)

How do Hugging Face Models Document Datasets, Bias, and Licenses? An Empirical Study. - Federica Pepe; Vittoria Nardone; Antonio Mastropaolo; Gabriele Bavota; Gerardo Canfora; Massimiliano Di Penta (ICPC, 2024)

Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study. - Rosalia Tufano; Antonio Mastropaolo; Federica Pepe; Ozren Dabic; Massimiliano Di Penta; Gabriele Bavota (MSR, 2024)

On the Reform of the Italian Constitution: an Interdisciplinary Text Readability Analysis. - Calogero Jerik Scozzaro; Matteo Delsanto; Antonio Mastropaolo; Enrico Mensa; Luisa Revelli; Daniele Paolo Radicioni (NL4AI@AI*IA, 2024)

The Rise and Fall(?) of Software Engineering. - Antonio Mastropaolo; Camilo Escobar-Velásquez; Mario Linares-Vásquez (CoRR, 2024)

Code Review Automation: Strengths and Weaknesses of the State of the Art. - Rosalia Tufano; Ozren Dabic; Antonio Mastropaolo; Matteo Ciniselli; Gabriele Bavota (IEEE Trans. Software Eng., 2024)

Log statements generation via deep learning: Widening the support provided to developers. - Antonio Mastropaolo; Valentina Ferrari; Luca Pascarella; Gabriele Bavota (J. Syst. Softw., 2024)

Replication Package of the paper: "A Taxonomy of Self-Admitted Technical Debt in Deep Learning Systems". - Federica Pepe; Fiorella Zampetti; Antonio Mastropaolo; Gabriele Bavota; Massimiliano Di Penta (Zenodo, 2024)

Resource-Efficient & Effective Code Summarization. - Saima Afrin; Joseph Call; Khai-Nguyen Nguyen; Oscar Chaparro; Antonio Mastropaolo (Forge@ICSE, 2025)

Towards Generating the Rationale for Code Changes. - Francesco Casillo; Antonio Mastropaolo; Gabriele Bavota; Vincenzo Deufemia; Carmine Gravino (ICPC, 2025)

Toward Neurosymbolic Program Comprehension. - Alejandro Velasco; Aya Garryyeva; David N. Palacio; Antonio Mastropaolo; Denys Poshyvanyk (ICPC, 2025)

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? - Antonio Vitale; Antonio Mastropaolo; Rocco Oliveto; Massimiliano Di Penta; Simone Scalabrino (ICPC, 2025)

A Path Less Traveled: Reimagining Software Engineering Automation via a Neurosymbolic Paradigm. - Antonio Mastropaolo; Denys Poshyvanyk (SIGSOFT FSE Companion, 2025)

[Replication Package] Quantizing Large Language Models for Code Generation: A Differentiated Replication. - Alessandro Giagnorio; Antonio Mastropaolo; Saima Afrin; Massimiliano Di Penta; Gabriele Bavota (Zenodo, 2025)

[Replication Package] Quantizing Large Language Models for Code Generation: A Differentiated Replication. - Alessandro Giagnorio; Antonio Mastropaolo; Saima Afrin; Massimiliano Di Penta; Gabriele Bavota (Zenodo, 2025)

[Replication Package] Quantizing Large Language Models for Code Generation: A Differentiated Replication. - Alessandro Giagnorio; Antonio Mastropaolo; Saima Afrin; Massimiliano Di Penta; Gabriele Bavota (Zenodo, 2025)

Quantizing Large Language Models for Code Generation: A Differentiated Replication. - Alessandro Giagnorio; Antonio Mastropaolo; Saima Afrin; Massimiliano Di Penta; Gabriele Bavota (CoRR, 2025)

A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models. - Md Zahidul Haque; Saima Afrin; Antonio Mastropaolo (CoRR, 2025)

How Artificial Intelligence Is Reshaping Our Lives: A Framework to Unravel Its Complexities. - Antonio Mastropaolo (Computer, 2025)

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation. - Sen Fang; Weiyuan Ding; Antonio Mastropaolo; Bowen Xu (CoRR, 2025)

From Triumph to Uncertainty: The Journey of Software Engineering in the AI Era. - Antonio Mastropaolo; Camilo Escobar-Velásquez; Mario Linares-Vásquez (ACM Trans. Softw. Eng. Methodol., 2025)

Pixels of Deception: How Evolutionary Algorithms Break AI Reliability. - Antonio Mastropaolo (Computer, 2025)

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models. - Saima Afrin; Bowen Xu; Antonio Mastropaolo (CoRR, 2025)

Smarter, Not Harder: Efficient Artificial Intelligence Training With Selective Data. - Antonio Mastropaolo (Computer, 2025)

On the Effectiveness of LLM-as-a-Judge for Code Generation and Summarization. - Giuseppe Crupi; Rosalia Tufano; Alejandro Velasco; Antonio Mastropaolo; Denys Poshyvanyk; Gabriele Bavota (IEEE Trans. Software Eng., 2025)

When Databases Age: How SQL Server and MySQL Handle the Test of Time. - Antonio Mastropaolo (Computer, 2025)