Evaluating SZZ Implementations Through a Developer-informed Oracle. - Giovanni Rosa; Luca Pascarella; Simone Scalabrino; Rosalia Tufano; Gabriele Bavota; Michele Lanza 001; Rocco Oliveto (ICSE, 2021)

Towards Automating Code Review Activities. - Rosalia Tufano; Luca Pascarella; Michele Tufano; Denys Poshyvanyk; Gabriele Bavota (ICSE, 2021)

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

Using Reinforcement Learning for Load Testing of Video Games. - Rosalia Tufano; Simone Scalabrino; Luca Pascarella; Emad Aghajani; Rocco Oliveto; Gabriele Bavota (ICSE, 2022)

Don't Reinvent the Wheel: Towards Automatic Replacement of Custom Implementations with APIs. - Rosalia Tufano; Emad Aghajani; Gabriele Bavota (ICSME, 2022)

Automating Code Review. - Rosalia Tufano (ICSE Companion, 2023)

Automating Code-Related Tasks Through Transformers: The Impact of Pre-training. - Rosalia Tufano; Luca Pascarella; Gabriele Bavota (ICSE, 2023)

A comprehensive evaluation of SZZ Variants through a developer-informed oracle. - Giovanni Rosa; Luca Pascarella; Simone Scalabrino; Rosalia Tufano; Gabriele Bavota; Michele Lanza 001; Rocco Oliveto (J. Syst. Softw., 2023)

On the Generalizability of Transformer Models to Code Completions of Different Lengths. - Nathan Cooper; Rosalia Tufano; Gabriele Bavota; Denys Poshyvanyk (ICSME, 2024)

SEART Data Hub: Streamlining Large-Scale Source Code Mining and Pre-Processing. - Ozren Dabic; Rosalia Tufano; Gabriele Bavota (ICSME, 2024)

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

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)

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 (ICSE, 2025)

Quality In, Quality Out: Investigating Training Data's Role in AI Code Generation. - Cristina Improta; Rosalia Tufano; Pietro Liguori; Domenico Cotroneo; Gabriele Bavota (ICPC, 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 (Zenodo, 2025)

Automating Code Review: A Systematic Literature Review. - Rosalia Tufano; Gabriele Bavota (CoRR, 2025)

Leveraging Reward Models for Guiding Code Review Comment Generation. - Oussama Ben Sghaier; Rosalia Tufano; Gabriele Bavota; Houari A. Sahraoui (CoRR, 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)