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A. Mastropaolo

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SE4

identity via Semantic Scholar / OpenAlex

most citedUsing Pre-Trained Models to Boost Code Review Automation

3 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SE2022★ 3 cited

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…

cs.SE2022

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…

cs.SE2021★ 1 cited

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…

cs.SE2021★ 1 cited

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…

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