Patch Boundary Detection
Patch Boundary Detection is a computational method that identifies the precise limits of code changes within source files by analyzing syntactic and semantic discontinuities, distinguishing it from general change localization techniques through its focus on granular, context-aware boundary determination in software patches.
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Publications
261
Citations
17
Authors
9
Institutions
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2017–2026
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An Algorithm for Cold Patch Detection in the Sea off Northeast Taiwan Using Multi-Sensor Data
Yu Cheng, Chung‐Ru Ho, Zhe-Wen Zheng et al. · Sensors · 2009 · 17 citations · Full text
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Stockholm University
Stockholm, Sweden
1 h-index
2 publications
174 citations
Longhua Hospital Shanghai University of Traditional Chinese Medicine
Shanghai, China
1 h-index
1 publications
59 citations

York University
Toronto, Canada
1 h-index
1 publications
59 citations
Ontario Tech University
Oshawa, Canada
1 h-index
1 publications
59 citations

Hunan University
Changsha, China
1 h-index
5 publications
295 citations
Shanghai University of Traditional Chinese Medicine
Shanghai, China
1 h-index
1 publications
59 citations
National Taiwan Ocean University
Keelung, Taiwan
1 h-index
5 publications
85 citations
University of Cambridge
Cambridge, United Kingdom
1 h-index
2 publications
196 citations
1–8 of 9
1 publications · 17 citations
1
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1 publications · 59 citations
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1 publications · 87 citations
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1 publications · 98 citations
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1 publications · 11 citations
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