Cross-domain Defect Detection
Cross-Domain Defect Detection is a defect detection approach that identifies faults or anomalies in software systems by leveraging knowledge from disparate domains, distinguished by its ability to generalize across domain boundaries where training and testing data exhibit different distributional characteristics.
9
Publications
200
Citations
42
Authors
24
Institutions
Publications per year
2017–2026
8
Parents
9
Domain Adaptation for Test Report Classification in Crowdsourced Testing
Junjie Wang, Qiang Cui, Song Wang et al. · 2017 · 36 citations
HDA: Cross-Project Defect Prediction via Heterogeneous Domain Adaptation With Dictionary Learning
Zhou Xu, Peipei Yuan, Tao Zhang et al. · IEEE Access · 2018 · 33 citations · Full text
1–5 of 9
42
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1–5 of 42
24
Wuhan University
Wuhan, China
2 h-index
2 publications
46 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
2 publications
69 citations
Zhejiang Lab
Hangzhou, China
1 h-index
1 publications
17 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
1 h-index
3 publications
99 citations
Nanjing University of Posts and Telecommunications
Nanjing, China
1 h-index
4 publications
52 citations

Xidian University
Xi'an, China
1 h-index
1 publications
30 citations

Xi'an Polytechnic University
Xi'an, China
1 h-index
1 publications
30 citations

South China University of Technology
Guangzhou, China
1 h-index
4 publications
60 citations
1–8 of 24
2 publications · 28 citations
2
h-index
1 publications · 17 citations
1
h-index
1 publications · 30 citations
1
h-index
1 publications · 17 citations
1
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1 publications · 33 citations
1
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