Towards Usable Neural Comment Generation via Code-Comment Linkage Interpretation: Method and Empirical Study

Author:

Jiang Shuyao1ORCID,Shen Jiacheng1,Wu Shengnan1,Cai Yu1,Yu Yue2ORCID,Zhou Yangfan1ORCID

Affiliation:

1. School of Computer Science, Fudan University, Shanghai, China

2. National Laboratory for Parallel & Distributed Processing, National University of Defense Technology, Changsha, China

Funder

National Key R&D Program of China

Natural Science Foundation of Shanghai

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Software

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Context-Focused Prompt Tuning Pre-Trained Code Models to Improve Code Summarization;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

2. An Sgx-Based Key Protection Solution for Ethereum Blockchain;2023

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