Rosalia Tufano

According to our database, Rosalia Tufano authored at least 19 papers between 2021 and 2025.

Collaborative distances:

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

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

Leveraging Reward Models for Guiding Code Review Comment Generation.

Oussama Ben Sghaier, Rosalia Tufano, Gabriele Bavota, Houari A. Sahraoui

CoRR, June, 2025

Automating Code Review: A Systematic Literature Review.

Rosalia Tufano, Gabriele Bavota

CoRR, March, 2025

Datasets and scripts related to the paper: "*Can Generative AI Help us in Open Coding of Software Engineering Data?*".

Federica Pepe, Alberto Martin-Lopez, Rosalia Tufano, Fiorella Zampetti, Gabriele Bavota, Massimiliano Di Penta

Dataset, January, 2025

Quality In, Quality Out: Investigating Training Data's Role in AI Code Generation.

Cristina Improta, Rosalia Tufano, Pietro Liguori, Domenico Cotroneo, Gabriele Bavota

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

Deep Learning-based Code Reviews: A Paradigm Shift or a Double-Edged Sword?

Rosalia Tufano, Alberto Martin-Lopez, Ahmad Tayeb, Ozren Dabic, Sonia Haiduc, Gabriele Bavota

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

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

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

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

SEART Data Hub: Streamlining Large-Scale Source Code Mining and Pre-Processing.

Ozren Dabic, Rosalia Tufano, Gabriele Bavota

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

On the Generalizability of Transformer Models to Code Completions of Different Lengths.

Nathan Cooper, Rosalia Tufano, Gabriele Bavota, Denys Poshyvanyk

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

2023

A comprehensive evaluation of SZZ Variants through a developer-informed oracle.

Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto

J. Syst. Softw., August, 2023

Automating Code-Related Tasks Through Transformers: The Impact of Pre-training.

Rosalia Tufano, Luca Pascarella, Gabriele Bavota

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

Automating Code Review.

Rosalia Tufano

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

2022

Don't Reinvent the Wheel: Towards Automatic Replacement of Custom Implementations with APIs.

Rosalia Tufano, Emad Aghajani, Gabriele Bavota

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

Using Reinforcement Learning for Load Testing of Video Games.

Rosalia Tufano, Simone Scalabrino, Luca Pascarella, Emad Aghajani, Rocco Oliveto, Gabriele Bavota

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

2021

Towards Automating Code Review Activities.

Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota

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

Evaluating SZZ Implementations Through a Developer-informed Oracle.

Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto

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