Antonio Mastropaolo

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 37

Top Topics

Open Source Projects

Automatically Generating

Top Venues

IEEE Trans. Software Eng.

Publications

Rosalia Tufano, Antonio Mastropaolo, Federica Pepe, Ozren Dabic, Massimiliano Di Penta, Gabriele Bavota
Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study. MSR (2024)
Antonio Mastropaolo, Valentina Ferrari, Luca Pascarella, Gabriele Bavota
Log statements generation via deep learning: Widening the support provided to developers. J. Syst. Softw. 210 (2024)
Antonio Mastropaolo, Matteo Ciniselli, Massimiliano Di Penta, Gabriele Bavota
Evaluating Code Summarization Techniques: A New Metric and an Empirical Characterization. ICSE (2024)
Rosalia Tufano, Ozren Dabic, Antonio Mastropaolo, Matteo Ciniselli, Gabriele Bavota
Code Review Automation: Strengths and Weaknesses of the State of the Art. IEEE Trans. Software Eng. 50 (2) (2024)
Rosalia Tufano, Antonio Mastropaolo, Federica Pepe, Ozren Dabic, Massimiliano Di Penta, Gabriele Bavota
Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study. CoRR (2024)
Antonio Mastropaolo, Camilo Escobar-Velásquez, Mario Linares-Vásquez
The Rise and Fall(?) of Software Engineering. CoRR (2024)
Antonio Mastropaolo, Fiorella Zampetti, Gabriele Bavota, Massimiliano Di Penta
Toward Automatically Completing GitHub Workflows. ICSE (2024)
Federica Pepe, Vittoria Nardone, Antonio Mastropaolo, Gabriele Bavota, Gerardo Canfora, Massimiliano Di Penta
How do Hugging Face Models Document Datasets, Bias, and Licenses? An Empirical Study. ICPC (2024)
Antonio Mastropaolo, Vittoria Nardone, Gabriele Bavota, Massimiliano Di Penta
How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching. EASE (2024)
Antonio Mastropaolo, Vittoria Nardone, Gabriele Bavota, Massimiliano Di Penta
How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching. CoRR (2024)
Rosalia Tufano, Ozren Dabic, Antonio Mastropaolo, Matteo Ciniselli, Gabriele Bavota
Code Review Automation: Strengths and Weaknesses of the State of the Art. CoRR (2024)
Antonio Mastropaolo, Matteo Ciniselli, Luca Pascarella, Rosalia Tufano, Emad Aghajani, Gabriele Bavota
Towards Summarizing Code Snippets Using Pre-Trained Transformers. ICPC (2024)
Antonio Mastropaolo, Matteo Ciniselli, Luca Pascarella, Rosalia Tufano, Emad Aghajani, Gabriele Bavota
Towards Summarizing Code Snippets Using Pre-Trained Transformers. CoRR (2024)
Antonio Mastropaolo, Luca Pascarella, Emanuela Guglielmi, Matteo Ciniselli, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota
On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot. CoRR (2023)
Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota
Automated variable renaming: are we there yet? Empir. Softw. Eng. 28 (2) (2023)
Antonio Mastropaolo, Massimiliano Di Penta, Gabriele Bavota
Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We? ASE (2023)
Giovanni Rosa, Antonio Mastropaolo, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto
Automatically Generating Dockerfiles via Deep Learning: Challenges and Promises. CoRR (2023)
Antonio Mastropaolo, Nathan Cooper, David Nader-Palacio, Simone Scalabrino, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota
Using Transfer Learning for Code-Related Tasks. IEEE Trans. Software Eng. 49 (4) (2023)
Antonio Mastropaolo, Luca Pascarella, Emanuela Guglielmi, Matteo Ciniselli, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota
On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot. ICSE (2023)
Giovanni Rosa, Antonio Mastropaolo, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto
Automatically Generating Dockerfiles via Deep Learning: Challenges and Promises. ICSSP (2023)
Antonio Mastropaolo, Matteo Ciniselli, Massimiliano Di Penta, Gabriele Bavota
Evaluating Code Summarization Techniques: A New Metric and an Empirical Characterization. CoRR (2023)
Antonio Mastropaolo, Valentina Ferrari, Luca Pascarella, Gabriele Bavota
Log Statements Generation via Deep Learning: Widening the Support Provided to Developers. CoRR (2023)
Antonio Mastropaolo, Fiorella Zampetti, Massimiliano Di Penta, Gabriele Bavota
Toward Automatically Completing GitHub Workflows. CoRR (2023)
Antonio Mastropaolo, Massimiliano Di Penta, Gabriele Bavota
Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We? CoRR (2023)
Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota
Automated Variable Renaming: Are We There Yet? CoRR (2022)
Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota
An Empirical Study on the Usage of Transformer Models for Code Completion. IEEE Trans. Software Eng. 48 (12) (2022)
Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota
Using Deep Learning to Generate Complete Log Statements. ICSE (2022)
Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota
Using Deep Learning to Generate Complete Log Statements. CoRR (2022)
Antonio Mastropaolo, Nathan Cooper, David Nader-Palacio, Simone Scalabrino, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota
Using Transfer Learning for Code-Related Tasks. CoRR (2022)
Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, Gabriele Bavota
Using Pre-Trained Models to Boost Code Review Automation. CoRR (2022)
Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, Gabriele Bavota
Using Pre-Trained Models to Boost Code Review Automation. ICSE (2022)
Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota
An Empirical Study on Code Comment Completion. ICSME (2021)
Antonio Mastropaolo, Simone Scalabrino, Nathan Cooper, David Nader-Palacio, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota
Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks. CoRR (2021)
Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota
An Empirical Study on the Usage of Transformer Models for Code Completion. CoRR (2021)
Antonio Mastropaolo, Simone Scalabrino, Nathan Cooper, David Nader-Palacio, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota
Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks. ICSE (2021)
Simone Scalabrino, Antonio Mastropaolo, Gabriele Bavota, Rocco Oliveto
An Adaptive Search Budget Allocation Approach for Search-Based Test Case Generation. ACM Trans. Softw. Eng. Methodol. 30 (3) (2021)
Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota
An Empirical Study on Code Comment Completion. CoRR (2021)
Antonio Mastropaolo, Francesco Pallante, Daniele Paolo Radicioni
Legal documents categorization by compression. ICAIL (2013)