Cross-domain Defect Detection

Cross-Domain Defect Detection is a defect detection approach that identifies faults or anomalies in software systems by leveraging knowledge from disparate domains, distinguished by its ability to generalize across domain boundaries where training and testing data exhibit different distributional characteristics.

9

Publications

200

Citations

42

Authors

24

Institutions

Publications per year

2017–2026

8

Authors

42

  1. JL
    Jiangang Lu

    State Key Laboratory of Industrial Control Technology

    1 publications · 17 citations

    1

    h-index

  2. DS
    Duolin Sha

    China University of Petroleum, Beijing, China

    1 publications · 17 citations

    1

    h-index

  3. ZJ
    Zhiqiang Jiang

    Dalian Ocean University, China

    1 publications · 17 citations

    1

    h-index

  4. SW
    Song Wang

    La Trobe University, Australia

    1 publications · 36 citations

    1

    h-index

  5. LL
    Lina Lv

    China University of Geosciences (Beijing), China

    1 publications · 13 citations

    1

    h-index

1–5 of 42

Venues

  1. IET Software

    2 publications · 28 citations

    2

    h-index

  2. Engineering Failure Analysis

    1 publications · 17 citations

    1

    h-index

  3. Entropy

    1 publications · 30 citations

    1

    h-index

  4. IEEE Sensors Journal

    1 publications · 17 citations

    1

    h-index

  5. IEEE Access

    1 publications · 33 citations

    1

    h-index

1–5