Repair Suggestions

Repair Suggestions is a methodological contribution within the field of error recovery that specifically comprises techniques or strategies designed to generate actionable alternatives for rectifying syntactic, semantic, or structural anomalies in computational systems, thereby distinguishing it from general error detection or diagnostic approaches.

13

Publications

494

Citations

35

Authors

16

Institutions

Publications per year

2017–2026

6

Authors

35

  1. KC
    Krishnendu Chakrabarty

    Duke University, United States

    4 publications · 121 citations

    4

    h-index

  2. XG
    Xinli Gu

    Duke University, United States

    4 publications · 121 citations

    4

    h-index

  3. FY
    Fangming Ye

    Duke University, United States

    3 publications · 92 citations

    3

    h-index

  4. ZZ
    Zhaobo Zhang

    Duke University, United States

    3 publications · 92 citations

    3

    h-index

  5. EA
    Eiji Adachi

    Pontifícia Universidade Católica do Rio de Janeiro, Brazil

    2 publications · 36 citations

    2

    h-index

1–5 of 35

Venues

  1. 2

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 2 publications · 53 citations

    2

    h-index

  3. ACM Transactions on Software Engineering and Methodology

    TOSEM · 1 publications · 31 citations

    1

    h-index

1–5