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Modeling Structural Features with Structure Position-Aware Attention for Code Summarization

delete2025-12-01
delete0
PRE
AI
J
Jian Luo
Z
Zhiheng Qu
蔡波 封面图
蔡波 (Bo Cai) *
DOI：10.1142/S0218194025500512delete
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摘要

摘要

En 中文
代码注释的自动生成是软件工程中的一个关键方面，因为它能够用自然语言描述源代码的功能。近年来，研究人员利用先进的机器翻译模型，特别是基于Transformer的模型，在代码摘要任务中取得了显著成果。尽管取得了这些进展，当前方法仍面临一些挑战。首先，现有模型未能很好地融入代码丰富的结构信息，导致生成的摘要语句质量不佳。其次，大多数生成模型对代码文本的编辑过于敏感，这导致模型泛化能力不足。为解决这些问题，我们提出了一个名为SPA-Trans（基于结构位置感知注意力Transformer的模型）的新模型。SPA-Trans利用基于AST（抽象语法树）中节点相对距离的距离矩阵来表示各token之间的结构相关性，增强了模型捕获源代码结构信息的能力。此外，为降低模型对代码编辑的敏感性，我们在嵌入层采用了对抗训练方法来模拟代码编辑，从而提升了模型的泛化能力。我们在Java和Python的真实数据集上的实验验证了我们提出方法的有效性。
Keyword:
Code summarization
programming language
text generation
deep learning

期刊

I
International Journal of Software Engineering and Knowledge Engineering
IF:
0.6
论文数:
107
被引数:
543

机构

W
wuhan university
学者数:
8.1W
论文数: 5.8W
被引数: 70
引用论文

引用论文

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err2014-01-01
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err2018-09-03
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errProceedings of the 28th International Conference on Program Comprehension
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err2020-09-12
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CloCom: Mining existing source code for automatic comment generation
err2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER)
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err2015-03-01
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errEdmund Wong; Taiyue Liu; Lin Tan
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Code Summarization with Structure-induced Transformer
errFindings of the Association for Computational Linguistics: ACL-IJCNLP 2021
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err2021-01-01
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errHongqiu Wu; Hai Zhao; Min Zhang
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AutoComment: Mining question and answer sites for automatic comment generation
err2013 28th IEEE/ACM International Conference on Automated Software Engineering (ASE)
IF0
err2013-11-01
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errEdmund Wong; Jinqiu Yang; Lin Tan
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Deep code comment generation
errProceedings of the 26th Conference on Program Comprehension
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err2018-05-28
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errXing Hu; Ge Li; Xin Xia; David Lo; Zhi Jin
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