3 citations · 5 across the 4 of their papers we have counts for
4 papers
Using Pre-Trained Models to Boost Code Review Automation
Rosalia Tufano, Simone Masiero, Antonio Mastropaolo +3
Code review is a practice widely adopted in open source and industrial projects. Given the non-negligible cost of such a process, researchers started investigating the possibility…
Using Deep Learning to Generate Complete Log Statements
Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota
Logging is a practice widely adopted in several phases of the software lifecycle. For example, during software development log statements allow engineers to verify and debug the sy…
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…