Antonio Mastropaolo

According to our database, Antonio Mastropaolo authored at least 47 papers between 2013 and 2025.

Collaborative distances:

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

2025

When Databases Age: How SQL Server and MySQL Handle the Test of Time.

Antonio Mastropaolo

Computer, September, 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., August, 2025

Smarter, Not Harder: Efficient Artificial Intelligence Training With Selective Data.

Antonio Mastropaolo

Computer, August, 2025

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models.

Saima Afrin, Bowen Xu, Antonio Mastropaolo

CoRR, July, 2025

Pixels of Deception: How Evolutionary Algorithms Break AI Reliability.

Antonio Mastropaolo

Computer, July, 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., June, 2025

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation.

Sen Fang, Weiyuan Ding, Antonio Mastropaolo, Bowen Xu

CoRR, June, 2025

How Artificial Intelligence Is Reshaping Our Lives: A Framework to Unravel Its Complexities.

Antonio Mastropaolo

Computer, June, 2025

A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models.

Md Zahidul Haque, Saima Afrin, Antonio Mastropaolo

CoRR, April, 2025

Quantizing Large Language Models for Code Generation: A Differentiated Replication.

Alessandro Giagnorio, Antonio Mastropaolo, Saima Afrin, Massimiliano Di Penta, Gabriele Bavota

CoRR, March, 2025

[Replication Package] Quantizing Large Language Models for Code Generation: A Differentiated Replication.

Alessandro Giagnorio, Antonio Mastropaolo, Saima Afrin, Massimiliano Di Penta, Gabriele Bavota

Dataset, March, 2025

[Replication Package] Quantizing Large Language Models for Code Generation: A Differentiated Replication.

Alessandro Giagnorio, Antonio Mastropaolo, Saima Afrin, Massimiliano Di Penta, Gabriele Bavota

Dataset, March, 2025

[Replication Package] Quantizing Large Language Models for Code Generation: A Differentiated Replication.

Alessandro Giagnorio, Antonio Mastropaolo, Saima Afrin, Massimiliano Di Penta, Gabriele Bavota

Dataset, March, 2025

A Path Less Traveled: Reimagining Software Engineering Automation via a Neurosymbolic Paradigm.

Antonio Mastropaolo, Denys Poshyvanyk

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough?

Antonio Vitale, Antonio Mastropaolo, Rocco Oliveto, Massimiliano Di Penta, Simone Scalabrino

Proceedings of the 33rd IEEE/ACM International Conference on Program Comprehension, 2025

Toward Neurosymbolic Program Comprehension.

Alejandro Velasco, Aya Garryyeva, David N. Palacio, Antonio Mastropaolo, Denys Poshyvanyk

Proceedings of the 33rd IEEE/ACM International Conference on Program Comprehension, 2025

Towards Generating the Rationale for Code Changes.

Francesco Casillo, Antonio Mastropaolo, Gabriele Bavota, Vincenzo Deufemia, Carmine Gravino

Proceedings of the 33rd IEEE/ACM International Conference on Program Comprehension, 2025

Resource-Efficient & Effective Code Summarization.

Saima Afrin, Joseph Call, Khai-Nguyen Nguyen, Oscar Chaparro, Antonio Mastropaolo

Proceedings of the IEEE/ACM Second International Conference on AI Foundation Models and Software Engineering, 2025

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

Dataset, July, 2024

Log statements generation via deep learning: Widening the support provided to developers.

Antonio Mastropaolo, Valentina Ferrari, Luca Pascarella, Gabriele Bavota

J. Syst. Softw., April, 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., February, 2024

The Rise and Fall(?) of Software Engineering.

Antonio Mastropaolo, Camilo Escobar-Velásquez, Mario Linares-Vásquez

CoRR, 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

Proceedings of the Eight Workshop on Natural Language for Artificial Intelligence (NL4AI 2024) co-located with 23th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2024), 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

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 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

Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

Towards Summarizing Code Snippets Using Pre-Trained Transformers.

Antonio Mastropaolo, Matteo Ciniselli, Luca Pascarella, Rosalia Tufano, Emad Aghajani, Gabriele Bavota

Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

A Taxonomy of Self-Admitted Technical Debt in Deep Learning Systems.

Federica Pepe, Fiorella Zampetti, Antonio Mastropaolo, Gabriele Bavota, Massimiliano Di Penta

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

Toward Automatically Completing GitHub Workflows.

Antonio Mastropaolo, Fiorella Zampetti, Gabriele Bavota, Massimiliano Di Penta

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Evaluating Code Summarization Techniques: A New Metric and an Empirical Characterization.

Antonio Mastropaolo, Matteo Ciniselli, Massimiliano Di Penta, Gabriele Bavota

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching.

Antonio Mastropaolo, Vittoria Nardone, Gabriele Bavota, Massimiliano Di Penta

Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

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

Dataset, October, 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., April, 2023

Automated variable renaming: are we there yet?

Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota

Empir. Softw. Eng., March, 2023

Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We?

Antonio Mastropaolo, Massimiliano Di Penta, Gabriele Bavota

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Automatically Generating Dockerfiles via Deep Learning: Challenges and Promises.

Giovanni Rosa, Antonio Mastropaolo, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto

Proceedings of the IEEE/ACM International Conference on Software and System Processes, 2023

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

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

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

Dataset, January, 2022

Replication Package for: Using Deep Learning to Generate Complete Log Statements.

Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota

Dataset, January, 2022

Replication Package for: An Empirical Study on Code Comment Completion.

Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriela Bavota

Dataset, January, 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

Dataset, January, 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

Using Pre-Trained Models to Boost Code Review Automation.

Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, Gabriele Bavota

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

Using Deep Learning to Generate Complete Log Statements.

Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota

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

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

An Empirical Study on Code Comment Completion.

Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

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

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2013

Legal documents categorization by compression.

Antonio Mastropaolo, Francesco Pallante, Daniele Paolo Radicioni

Proceedings of the International Conference on Artificial Intelligence and Law, 2013