Cross-Domain Deep Code Search with Meta Learning

Recently, pre-trained programming language models such as Code-BERT have demonstrated substantial gains in code search. Despite their success, they rely on the availability of large amounts of parallel data to fine-tune the semantic mappings between queries and code. This restricts their practicalit...

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Bibliographic Details

Published in:	2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE) pp. 487 - 498
Main Authors:	Chai, Yitian, Zhang, Hongyu, Shen, Beijun, Gu, Xiaodong
Format:	Conference Proceeding
Language:	English
Published:	ACM 01.05.2022
Subjects:	Adaptation models Code Search Codes Data models Deep Learning Few-Shot Learning Java Meta Learning Pre-trained Code Models Solid modeling Structured Query Language Transfer learning
ISSN:	1558-1225
Online Access:	Get full text
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