Patch Context Analysis
Patch Context Analysis is a computational method within the field of software engineering that examines the structural and semantic information surrounding code modifications to distinguish genuine bug fixes from false positives by analyzing the contextual elements of source code patches.
7
Publications
1.2K
Citations
18
Authors
14
Institutions
Publications per year
2017–2026
5
Parents
7
Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation
Guosheng Lin, Chunhua Shen, Anton van den Hengel et al. · 2016 · 852 citations
Suvidha Tripathi, Satish Kumar Singh, Hwee Kuan Lee · Computerized Medical Imaging and Graphics · 2020 · 52 citations · Full text
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The University of Adelaide
Adelaide, Australia
2 h-index
8 publications
3.7K citations
Sogang University
Seoul, South Korea
1 h-index
1 publications
32 citations
Australian Centre for Robotic Vision
Brisbane, Australia
1 h-index
3 publications
2.6K citations

Huazhong University of Science and Technology
Wuhan, China
1 h-index
1 publications
60 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
2 publications
60 citations
Indian Institute of Information Technology Allahabad
Prayagraj, India
1 h-index
2 publications
104 citations
Singapore Eye Research Institute
Singapore, Singapore
1 h-index
1 publications
52 citations
Korea Institute of Science and Technology
Seoul, South Korea
1 h-index
2 publications
64 citations
1–8 of 14
TOSEM · 2 publications · 109 citations
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Conference · 1 publications · 32 citations
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Repository · 1 publications · 85 citations
1
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1 publications · 30 citations
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CMIG · 1 publications · 52 citations
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