Matteo Ciniselli

🧵 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 👇

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 @IEEEICSME #icsme2022 @r_tufano_ @MatteoCiniselli @AntonioMastro2

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

"Using Reinforcement Learning for Load Testing of Video Games" accepted at @ICSEconf @r_tufano_ @SimonScalabrino @LucaPascarella @emadpres @RoccoOliveto 📄 Preprint: arxiv.org/abs/2201.06865 📈 Code/data: tinyurl.com/uvbzxfyf A result of the DEVINTA @ERC_Research project.

"Using Pre-Trained Models to Boost Code Review Automation" accepted at @ICSEconf @r_tufano_ @LucaPascarella @AntonioMastro2 @Denys19674549 📄 Preprint: arxiv.org/abs/2201.06850 📈 Code/data: tinyurl.com/ypsehk5m A result of the DEVINTA @ERC_Research project.

"Using Deep Learning to Generate Complete Log Statements" accepted at @ICSEconf @AntonioMastro2 @LucaPascarella 📄 Preprint: arxiv.org/abs/2201.04837 📈 Code/data: tinyurl.com/2p8f4v24 A result of the DEVINTA @ERC_Research project.

"An Empirical Study on the Usage of Transformer Models for Code Completion" accepted at IEEE Transactions on Software Engineering @MatteoCiniselli @ncooper57 @LucaPascarella @AntonioMastro2 @emadpres @Denys19674549 @mdipenta A result of the DEVINTA @ERC_Research project.