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

• Published in: Proceedings / International Conference on Software Engineering pp. 336 - 347
• Main Authors: Mastropaolo, Antonio, Scalabrino, Simone, Cooper, Nathan, Nader Palacio, David, Poshyvanyk, Denys, Oliveto, Rocco, Bavota, Gabriele
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2021
• Subjects: Computer bugs; Deep learning; Empirical software engineering; Filling; Natural language processing; Software; Software engineering; Task analysis

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 automatic bug fixing and code comments generation. Recent studies in the Natural Language Processing (NLP) field have shown that...