Documentation Mining is an academic method within software documentation research that systematically extracts, analyzes, and synthesizes documentation artifacts to uncover implicit knowledge, structural patterns, or empirical insights underlying software systems.
91
Publications
4.4K
Citations
253
Authors
114
Institutions
Publications per year
2017–2026
32
Parents
Publications
91
Inferring Resource Specifications from Natural Language API Documentation
Hao Zhong, Lu Zhang, Tao Xie et al. · 2009 · 191 citations · Full text
Software Documentation Issues Unveiled
Emad Aghajani, Csaba Nagy, Olga Lucero Vega-Márquez et al. · 2019 · 172 citations
1–5 of 91
Authors
253
- MD
8
h-index
- AE
6
h-index
- DP
5
h-index
- GB
5
h-index
- AM
4
h-index
1–5 of 253
Institutions
114
University of Sannio
Benevento, Italy
8 h-index
21 publications
1.4K citations
William & Mary
Williamsburg, United States
5 h-index
16 publications
851 citations
North Carolina State University
Raleigh, United States
5 h-index
7 publications
361 citations
Queen's University
Kingston, Canada
4 h-index
9 publications
252 citations
McGill University
Montreal, Canada
4 h-index
4 publications
436 citations
Williams (United States)
Tulsa, United States
4 h-index
12 publications
743 citations
Australian National University
Canberra, Australia
3 h-index
5 publications
326 citations
Fudan University
Shanghai, China
3 h-index
12 publications
364 citations
1–8 of 114
Venues
- IEEE Transactions on Software Engineering
TSE · 7 publications · 250 citations
7
h-index
- arXiv (Cornell University)
Repository · 3 publications · 64 citations
3
h-index
- 2013 35th International Conference on Software Engineering (ICSE)
Conference · 2 publications · 125 citations
2
h-index
- IEEE Access
2 publications · 197 citations
2
h-index
- Journal of the Royal Statistical Society Series A (General)
1 publications · 36 citations
1
h-index
1–5