98 citations · 108 across the 8 of their papers we have counts for
3 papers · 1 filter
On the Generalizability of Deep Learning-based Code Completion Across Programming Language Versions
Matteo Ciniselli, Alberto Martin-Lopez, Gabriele Bavota
Code completion is a key feature of Integrated Development Environments (IDEs), aimed at predicting the next tokens a developer is likely to write, helping them write code faster a…
Towards Summarizing Code Snippets Using Pre-Trained Transformers
Antonio Mastropaolo, Matteo Ciniselli, Luca Pascarella +3
When comprehending code, a helping hand may come from the natural language comments documenting it that, unfortunately, are not always there. To support developers in such a scenar…
Code Review Automation: Strengths and Weaknesses of the State of the Art
Rosalia Tufano, Ozren Dabić, Antonio Mastropaolo +2
The automation of code review has been tackled by several researchers with the goal of reducing its cost. The adoption of deep learning in software engineering pushed the automatio…