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Releases: antonio-mastropaolo/T5-learning-ICSE_2021

Release v1.0.0 - Studying the usage of text-to-text transfer transformer to support code-related tasks

19 Jan 06:08
@antonio-mastropaolo antonio-mastropaolo
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Release v1.0.0 - Studying the usage of text-to-text transfer transformer to support code-related tasks Latest
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- Replication Package for: Studying the usage of text-to-text transfer transformer to support code-related tasks

- Authors: Antonio Mastropaolo, Simone Scalabrino, Nathan Cooper, David Palacio, Denys Poshyvanyk, Rocco Oliveto and Gabriele Bavota.

- Description: This is the replication package for the paper: Studying the usage of text-to-text transfer transformer to support code-related tasks published in the International Conference on Software Engineering (ICSE)

- License: MIT

- Grants: European Commission, DEVINTA - An Artificial Assistant for Software Developers (851720)

- Keywords: Empirical software engineering, Deep Learning

- 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE) [336-347]

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