Context-Encoded Code Change Representation for Automated Commit Message Generation

被引:0
|
作者
Vu, Thanh Trong [1 ]
Do, Thanh-Dat [1 ]
Vo, Hieu Dinh [1 ]
机构
[1] Faculty of Information Technology, VNU University of Engineering and Technology, Hanoi, Viet Nam
关键词
All Open Access; Green;
D O I
10.1142/S0218194023500493
中图分类号
学科分类号
摘要
Software design
引用
收藏
页码:185 / 202
相关论文
共 11 条
  • [1] FIRA: Fine-Grained Graph-Based Code Change Representation for Automated Commit Message Generation
    Dong, Jinhao
    Lou, Yiling
    Zhu, Qihao
    Sun, Zeyu
    Li, Zhilin
    Zhang, Wenjie
    Hao, Dan
    [J]. 2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2022), 2022, : 970 - 981
  • [2] CoreGen: Contextualized Code Representation Learning for Commit Message Generation
    Nie, Lun Yiu
    Gao, Cuiyun
    Zhong, Zhicong
    Lam, Wai
    Liu, Yang
    Xu, Zenglin
    [J]. NEUROCOMPUTING, 2021, 459 : 97 - 107
  • [3] Combining Code Context and Fine-grained Code Difference for Commit Message Generation
    Xu, Shengbin
    Yao, Yuan
    Xu, Feng
    Gu, Tianxiao
    Tong, Hanghang
    [J]. 13TH ASIA-PACIFIC SYMPOSIUM ON INTERNETWARE, INTERNETWARE 2022, 2022, : 242 - 251
  • [4] ESGen: Commit Message Generation Based on Edit Sequence of Code Change
    Chen, Xiangping
    Li, Yangzi
    Tang, Zhicao
    Huang, Yuan
    Zhou, Haojie
    Tang, Mingdong
    Zheng, Zibin
    [J]. PROCEEDINGS 2024 32ND IEEE/ACM INTERNATIONAL CONFERENCE ON PROGRAM COMPREHENSION, ICPC 2024, 2024, : 112 - 124
  • [5] Multi-grained contextual code representation learning for commit message generation
    Wang, Chuangwei
    Zhang, Li
    Zhang, Xiaofang
    [J]. INFORMATION AND SOFTWARE TECHNOLOGY, 2024, 167
  • [6] Commit Message Generation for Source Code Changes
    Xu, Shengbin
    Yao, Yuan
    Xu, Feng
    Gu, Tianxiao
    Tong, Hanghang
    Lu, Jian
    [J]. PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2019, : 3975 - 3981
  • [7] Quality Assurance for Automated Commit Message Generation
    Wang, Bei
    Yan, Meng
    Liu, Zhongxin
    Xu, Ling
    Xia, Xin
    Zhang, Xiaohong
    Yang, Dan
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ANALYSIS, EVOLUTION AND REENGINEERING (SANER 2021), 2021, : 260 - 271
  • [8] Boosting Neural Commit Message Generation with Code Semantic Analysis
    Jiang, Shuyao
    [J]. 34TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE 2019), 2019, : 1280 - 1282
  • [9] Commit Message Generation from Code Differences using Hidden Markov Models
    Awad, Ahmed
    Nagaty, Khaled
    [J]. PROCEEDINGS OF 2019 8TH INTERNATIONAL CONFERENCE ON SOFTWARE AND INFORMATION ENGINEERING (ICSIE 2019), 2019, : 96 - 99
  • [10] Context-aware Retrieval-based Deep Commit Message Generation
    Wang, Haoye
    Xia, Xin
    Lo, David
    He, Qiang
    Wang, Xinyu
    Grundy, John
    [J]. ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, 2021, 30 (04)