Automated Patch Generation

Automated Patch Generation is an academic method within software engineering that systematically synthesizes corrective code modifications for software defects without manual intervention, distinguishing it from traditional manual patching approaches by its reliance on algorithmic or artificial intelligence-driven techniques.

132

Publications

10.8K

Citations

313

Authors

119

Institutions

Publications per year

2017–2026

100

Variants

Apg

Authors

313

  1. MM
    Martin Monperrus

    KTH Royal Institute of Technology, Sweden

    11 publications · 1K citations

    11

    h-index

  2. AR
    Abhik Roychoudhury

    National University of Singapore, Singapore

    10 publications · 732 citations

    10

    h-index

  3. SM
    Sergey Mechtaev

    National University of Singapore, Singapore

    7 publications · 586 citations

    7

    h-index

  4. TF
    Tegawendé F. Bissyandé

    University of Luxembourg, Luxembourg

    6 publications · 427 citations

    6

    h-index

  5. FL
    Fan Long

    Massachusetts Institute of Technology, United States

    6 publications · 1.3K citations

    6

    h-index

1–5 of 313

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 262 citations

    10

    h-index

  2. ACM Transactions on Software Engineering and Methodology

    TOSEM · 6 publications · 287 citations

    6

    h-index

  3. Empirical Software Engineering

    6 publications · 201 citations

    6

    h-index

  4. IEEE Transactions on Software Engineering

    TSE · 5 publications · 528 citations

    5

    h-index

  5. ACM SIGPLAN Notices

    3 publications · 321 citations

    3

    h-index

1–5