Causal Inference In Debugging

Causal Inference in Debugging is a debugging methodology that identifies cause-effect relationships among distributed events by applying causality analysis to infer the root causes of anomalous system behaviors.

15

Publications

642

Citations

41

Authors

24

Institutions

Publications per year

2017–2026

5

Authors

41

  1. PC
    Pengfei Chen

    Xi'an Jiaotong University, China

    2 publications · 198 citations

    2

    h-index

  2. PF
    Paul F. Reynolds

    University of Virginia, United States

    2 publications · 50 citations

    2

    h-index

  3. RG
    Ross Gore

    Old Dominion University, United States

    2 publications · 50 citations

    2

    h-index

  4. WN
    William N. Sumner

    Purdue University West Lafayette, United States

    2 publications · 56 citations

    2

    h-index

  5. YQ
    Yong Qi

    Xi'an Jiaotong University, China

    2 publications · 198 citations

    2

    h-index

1–5 of 41

Venues

  1. IEEE Transactions on Services Computing

    1 publications · 69 citations

    1

    h-index

  2. 2013 35th International Conference on Software Engineering (ICSE)

    Conference · 1 publications · 26 citations

    1

    h-index

  3. Advanced Engineering Informatics

    1 publications · 45 citations

    1

    h-index

  4. IEEE Transactions on Software Engineering

    TSE · 1 publications · 29 citations

    1

    h-index

  5. International Conference on Software Engineering

    Conference · 1 publications · 24 citations

    1

    h-index

1–5