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"An Empirical Study on the Usage of Transformer Models for Code Completion" accepted at IEEE Transactions on Software Engineering Matteo Ciniselli Nathan Cooper Luca Pascarella Antonio Mastropaolo Emad Aghajani Denys Max Di Penta A result of the DEVINTA European Research Council (ERC) project.

"Using Deep Learning to Generate Complete Log Statements" accepted at ICSE Antonio Mastropaolo Luca Pascarella 📄 Preprint: arxiv.org/abs/2201.04837 📈 Code/data: tinyurl.com/2p8f4v24 A result of the DEVINTA European Research Council (ERC) project.

"Using Pre-Trained Models to Boost Code Review Automation" accepted at ICSE Rosalia Tufano Luca Pascarella Antonio Mastropaolo Denys 📄 Preprint: arxiv.org/abs/2201.06850 📈 Code/data: tinyurl.com/ypsehk5m A result of the DEVINTA European Research Council (ERC) project.

"Using Reinforcement Learning for Load Testing of Video Games" accepted at ICSE Rosalia Tufano Simone Scalabrino Luca Pascarella Emad Aghajani Rocco Oliveto 📄 Preprint: arxiv.org/abs/2201.06865 📈 Code/data: tinyurl.com/uvbzxfyf A result of the DEVINTA European Research Council (ERC) project.

ICSME rocks this year. Fantastic people, excellent food, and stunning location. I’m glad we managed to get back to in-person conferences. #icsme2022 #symposium #softwareengineering

I feel very proud and lucky to be the PhD advisor of Rosalia, Matteo, and Antonio. If you have the chance, have a chat with them at IEEE ICSME 2025 #icsme2022 Rosalia Tufano Matteo Ciniselli Antonio Mastropaolo

🧵 Announcing #DL4SE: Easily and quickly build large-scale code datasets to run MSR studies or train DL models. 🔗 Tool: seart-dl4se.si.usi.ch ℹ️ GitHub: github.com/seart-group/DL… How does it work and what you can do with it 👇