Matteo Ciniselli

PhD student at Università della Svizzera Italiana (USI)

[Gabriele Bavota @gbavota]

🧵 Announcing #DL4SE: Easily and quickly build large-scale code datasets to run MSR studies or train DL models.

🔗 Tool: https://t.co/sdFkyuTwxN
ℹ️ GitHub: https://t.co/m7pAy0CroB

How does it work and what you can do with it 👇

[Gabriele Bavota @gbavota]

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

[Antonio Mastropaolo @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

[Gabriele Bavota @gbavota]

"Using Reinforcement Learning for Load Testing of Video Games" accepted at @ICSEconf
@r_tufano_ @SimonScalabrino @LucaPascarella @emadpres @RoccoOliveto

📄 Preprint: https://t.co/pcLI96cFcv
📈 Code/data: https://t.co/VTi2Itee3u

A result of the DEVINTA @ERC_Research project.

[Gabriele Bavota @gbavota]

"Using Pre-Trained Models to Boost Code Review Automation" accepted at @ICSEconf
@r_tufano_ @LucaPascarella @AntonioMastro2 @Denys19674549

📄 Preprint: https://t.co/5fX93jkqnM
📈 Code/data: https://t.co/vIcoCdVSZq

A result of the DEVINTA @ERC_Research project.

[Gabriele Bavota @gbavota]

"Using Deep Learning to Generate Complete Log Statements" accepted at @ICSEconf
@AntonioMastro2 @LucaPascarella

📄 Preprint: https://t.co/IFLp6T9xkx
📈 Code/data: https://t.co/QlYujWPbd8

A result of the DEVINTA @ERC_Research project.

[Gabriele Bavota @gbavota]

"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.