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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Veröffentlicht in:	2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE) S. 487 - 498
Hauptverfasser:	Chai, Yitian, Zhang, Hongyu, Shen, Beijun, Gu, Xiaodong
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 01.05.2022
Schlagworte:	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-Zugang:	Volltext
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