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.

4

Publications

261

Citations

17

Authors

9

Institutions

Publications per year

2017–2026

1

Authors

17

  1. YC
    Yu Cheng

    University of California, Merced, United States

    1 publications · 17 citations

    1

    h-index

  2. NK
    Nan‐Jung Kuo

    National Taiwan Ocean University, Taiwan

    1 publications · 17 citations

    1

    h-index

  3. GC
    Gianmarc Coppola

    Ontario Tech University, Canada

    1 publications · 59 citations

    1

    h-index

  4. IB
    Ioannis Brilakis

    University of Cambridge, United Kingdom

    1 publications · 98 citations

    1

    h-index

  5. GE
    Göran Englund

    Umeå University, Sweden

    1 publications · 87 citations

    1

    h-index

1–5 of 17

Venues

  1. Sensors

    1 publications · 17 citations

    1

    h-index

  2. 1

    h-index

  3. Journal of Animal Ecology

    1 publications · 87 citations

    1

    h-index

  4. Automation in Construction

    1 publications · 98 citations

    1

    h-index

  5. Information and Software Technology

    1 publications · 11 citations

1–5