Automated Comment Generation
Automated Comment Generation is a computational method that systematically produces evaluative or corrective feedback on academic or student writing through algorithmic analysis, distinguishing itself from broader feedback systems by focusing specifically on generating natural language comments rather than scores, grades, or structural revisions.
111
Publications
6.3K
Citations
401
Authors
148
Institutions
Publications per year
2017–2026
86
111
Towards automatically generating summary comments for Java methods
Giriprasad Sridhara, Emily Hill, Divya Muppaneni et al. · 2010 · 517 citations
Deep code comment generation with hybrid lexical and syntactical information
Xing Hu, Ge Li, Xin Xia et al. · Empirical Software Engineering · 2019 · 285 citations
Lin Tan, Ding Yuan, Gopal Krishna et al. · 2007 · 268 citations
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148

Peking University
Beijing, China
14 h-index
30 publications
4K citations
Singapore Management University
Singapore, Singapore
10 h-index
13 publications
1.6K citations

Monash University
Melbourne, Australia
9 h-index
10 publications
1.3K citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
8 h-index
15 publications
510 citations

Sun Yat-sen University
Guangzhou, China
8 h-index
37 publications
1.2K citations
Institute of Software
Beijing, China
7 h-index
20 publications
1.6K citations

Nantong University
Nantong, China
6 h-index
22 publications
763 citations

Zhejiang University
Hangzhou, China
5 h-index
11 publications
672 citations
1–8 of 148
Repository · 10 publications · 440 citations
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TOSEM · 5 publications · 188 citations
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JSS · 5 publications · 161 citations
5
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Conference · 3 publications · 269 citations
3
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3 publications · 123 citations
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