An Empirical Study on Code Search Pre-trained Models: Academic Progresses vs. Industry Requirements-Reference-Cited by-同舟云学术

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An Empirical Study on Code Search Pre-trained Models: Academic Progresses vs. Industry Requirements

Published:2024-07-24 Issue: Volume:54 Page:41-50
ISSN:
Container-title:Proceedings of the 15th Asia-Pacific Symposium on Internetware
language:
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Author:

Chi Kuo¹^ORCID,Li Chuanyi¹^ORCID,Ge Jidong¹^ORCID,Luo Bin¹^ORCID

Affiliation:

1. Nanjing University, China

Funder

CCF-Huawei Populus Grove Fund

Huawei-NJU Creative Laboratory for the Next Programming

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3671016.3672580

Reference51 articles.

1. Multilingual training for software engineering

2. A Survey of Machine Learning for Big Code and Naturalness

3. When deep learning met code search

4. On the transferability of pre-trained language models for low-resource programming languages

5. Towards a Better Understanding of Query Reformulation Behavior in Web Search

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