Matteo Ciniselli

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 19

Top Topics

Axiomatic Characterization

Programming Language

Code Generation

Top Venues

Publications

Matteo Ciniselli, Alberto Martin-Lopez, Gabriele Bavota
On the Generalizability of Deep Learning-based Code Completion Across Programming Language Versions. CoRR (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)
Matteo Ciniselli, Niccolò Puccinelli, Ketai Qiu, Luca Di Grazia
From Today's Code to Tomorrow's Symphony: The AI Transformation of Developer's Routine by 2030. 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)
Matteo Ciniselli, Alberto Martin-Lopez, Gabriele Bavota
On the Generalizability of Deep Learning-based Code Completion Across Programming Language Versions. ICPC (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)
Matteo Ciniselli, Luca Pascarella, Emad Aghajani, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota
Source Code Recommender Systems: The Practitioners' Perspective. ICSE (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)
Antonio Mastropaolo, Matteo Ciniselli, Massimiliano Di Penta, Gabriele Bavota
Evaluating Code Summarization Techniques: A New Metric and an Empirical Characterization. CoRR (2023)
Matteo Ciniselli, Luca Pascarella, Emad Aghajani, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota
Source Code Recommender Systems: The Practitioners' Perspective. CoRR (2023)
Matteo Ciniselli, Luca Pascarella, Gabriele Bavota
To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set? MSR (2022)
Matteo Ciniselli, Luca Pascarella, Gabriele Bavota
To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set? 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)
Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota
An Empirical Study on the Usage of BERT Models for Code Completion. 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)
Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota
An Empirical Study on the Usage of BERT Models for Code Completion. MSR (2021)