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TSE'24
Chain-of-Thought in Neural Code Generation: From and For Lightweight Language Models.
Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Terry Yue Zhuo, and Taolue Chen.
In Transactions on Software Engineering, To appear. (IF2024: 6.5, CCF-A)
[Code]
[DOI]
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计算机研究与发展'24
CodeScore-R:用于评估代码合成功能准确性的自动化鲁棒指标.
杨光, 周宇, 陈翔, 张翔宇.
In 计算机研究与发展, 2024. (IF2024: 4.149, 中文 CCF-A)
[DOI]
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TOSEM'24
How Important are Good Method Names in Neural Code Generation? A Model Robustness Perspective.
Guang Yang, Yu Zhou, Wenhua Yang, Tao Yue, Xiang Chen, and Taolue Chen.
In ACM Transactions on Software Engineering and Methodology, March, 2024. (IF2024: 6.6, CCF-A)
[Code]
[DOI]
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IST'24
Automatic Smart Contract Comment Generation via Large Language Models and In-Context Learning.
Junjie Zhao, Xiang Chen, Guang Yang, and Yiheng Shen.
In Information and Software Technology, April, 2024. (IF2024: 3.8, CCF-B)
[DOI]
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ASEJ'24
Bash Comment Generation via Data Augmentation and Semantic-Aware CodeBERT.
Yiheng Shen, Xiaolin Ju, Xiang Chen, and Guang Yang.
In Automated Software Engineering, March, 2024. (IF2024: 2, CCF-B)
[DOI]
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EMSE'24
Automatic Bi-modal Question Title Generation for Stack Overflow with Prompt Learning.
Shaoyu Yang, Xiang Chen, Ke Liu, Guang Yang, and Chi Yu.
In Empirical Software Engineering, May, 2024. (IF2024: 3.5, CCF-B)
[DOI]
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JSS'24
Context-aware code generation with synchronous bidirectional decoder.
Xiangyu Zhang, Yu Zhou, Guang Yang, Tingting Han, and Taolue Chen.
In Journal of Systems and Software, July, 2024. (IF2024: 3.7, CCF-B)
[DOI]
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EMSE'23
A Syntax-Guided Multi-Task Learning Approach for Turducken-Style Code Generation.
Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Yiran Xu, Tingting Han, and Taolue Chen.
In Empirical Software Engineering, October, 2023. (IF2023: 4.1, CCF-B)
[Code]
[DOI]
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JSS'23
ExploitGen: Template-Augmented Exploit Code Generation Based on CodeBERT.
Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Tingting Han, Taolue Chen.
In Journal of Systems and Software, March, 2023. (IF2023: 3.5, CCF-B)
[Code]
[DOI]
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软件学报'23
基于双重信息检索的Bash代码注释自动生成方法.
陈翔,于池,杨光,濮雪莲,崔展齐.
In 软件学报, April, 2023. (IF2023: 5.201, 中文 CCF-A)
[DOI]
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计算机系统应用'23
基于对抗扰动和局部信息增强的进阀温度预测.
吴 皓, 周宇, 张硕桦, 杨光.
In 计算机系统应用, 2023. (IF2023: 1.825, 中文 CCF-C)
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软件学报'21
代码注释自动生成方法综述.
陈翔, 杨光, 崔展齐, 孟国柱, 王赞.
In 软件学报, July, 2021. (IF2021: 3.993, 中文 CCF-A)
[DOI]
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吉林大学学报(理学版)'21
基于深度学习的Stack Overflow问题帖分类方法.
杨光, 贾焱鑫, 陈翔, 许舒源.
In 吉林大学学报(理学版), 2021. (IF2021: 0.601, 北核)
[DOI]
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计算机应用研究 '21
ORESP: 基于有序回归的软件缺陷严重程度预测方法.
贾焱鑫, 陈翔, 葛骅, 杨光, 林浩.
In 计算机应用研究, 2021. (IF2021: 1.888, 中文 CCF-C)
[DOI]