most citedStudying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks

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

collaborators

5 papers

cs.SE20221 cited

Towards Using Gameplay Videos for Detecting Issues in Video Games

Emanuela Guglielmi, Simone Scalabrino, Gabriele Bavota +1

Context. The game industry is increasingly growing in recent years. Every day, millions of people play video games, not only as a hobby, but also for professional competitions (e.g…

cs.SE2022

Using Reinforcement Learning for Load Testing of Video Games

Rosalia Tufano, Simone Scalabrino, Luca Pascarella +3

Different from what happens for most types of software systems, testing video games has largely remained a manual activity performed by human testers. This is mostly due to the con…

cs.SE20211 cited

Evaluating SZZ Implementations Through a Developer-informed Oracle

Giovanni Rosa, Luca Pascarella, Simone Scalabrino +4

The SZZ algorithm for identifying bug-inducing changes has been widely used to evaluate defect prediction techniques and to empirically investigate when, how, and by whom bugs are…

cs.SE20211 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…

cs.SE2021

Why Developers Refactor Source Code: A Mining-based Study

Jevgenija Pantiuchina, Fiorella Zampetti, Simone Scalabrino +4

Refactoring aims at improving code non-functional attributes without modifying its external behavior. Previous studies investigated the motivations behind refactoring by surveying…