An Empirical Study on Software Defect Prediction Using CodeBERT Model

Deep learning-based software defect prediction has been popular these days. Recently, the publishing of the CodeBERT model has made it possible to perform many software engineering tasks. We propose various CodeBERT models targeting software defect prediction, including CodeBERT-NT, CodeBERT-PS, Cod...

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Auteurs principaux:	Cong Pan, Minyan Lu, Biao Xu
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2021-05-01
Collection:	Applied Sciences
Sujets:	software defect prediction deep transfer learning pre-trained language model software reliability
Accès en ligne:	https://www.mdpi.com/2076-3417/11/11/4793
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