98 citations · 122 across the 38 of their papers we have counts for
4 papers · 1 filter
Automated Variable Renaming: Are We There Yet?
Antonio Mastropaolo, Emad Aghajani, Luca Pascarella +1
Identifiers, such as method and variable names, form a large portion of source code. Therefore, low-quality identifiers can substantially hinder code comprehension. To support deve…
Using Transfer Learning for Code-Related Tasks
Antonio Mastropaolo, Nathan Cooper, David Nader Palacio +4
Deep learning (DL) techniques have been used to support several code-related tasks such as code summarization and bug-fixing. In particular, pre-trained transformer models are on t…
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…