Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code

Bin Luo; Changan Niu; Chuanyi Li; Vincent Ng

Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code

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arxiv 2205.11739 v1 pith:IZYEM7ZR submitted 2022-05-24 cs.SE cs.AI

Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code

Changan Niu , Chuanyi Li , Bin Luo , Vincent Ng This is my paper

classification cs.SE cs.AI

keywords codedeepengineeringlearningmodelspre-trainedresearchsoftware

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Recent years have seen the successful application of deep learning to software engineering (SE). In particular, the development and use of pre-trained models of source code has enabled state-of-the-art results to be achieved on a wide variety of SE tasks. This paper provides an overview of this rapidly advancing field of research and reflects on future research directions.

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