98 citations · 122 across the 38 of their papers we have counts for
3 papers · 1 filter
An Empirical Study on the Usage of Transformer Models for Code Completion
Matteo Ciniselli, Nathan Cooper, Luca Pascarella +5
Code completion aims at speeding up code writing by predicting the next code token(s) the developer is likely to write. Works in this field focused on improving the accuracy of the…
An Empirical Study on Code Comment Completion
Antonio Mastropaolo, Emad Aghajani, Luca Pascarella +1
Code comments play a prominent role in program comprehension activities. However, source code is not always documented and code and comments not always co-evolve. To deal with thes…
Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks
Antonio Mastropaolo, Simone Scalabrino, Nathan Cooper +4
Deep learning (DL) techniques are gaining more and more attention in the software engineering community. They have been used to support several code-related tasks, such as automati…