Defect Prediction

Defect Prediction is a software engineering method that identifies modules or components within a software system that are likely to contain faults or defects, based on historical development data and code metrics, thereby enabling proactive quality assurance and targeted maintenance efforts.

1.5K

Publications

98.9K

Citations

3K

Authors

1K

Institutions

Publications per year

2017–2026

764

Authors

3K

  1. TM
    Taghi M. Khoshgoftaar

    Florida Atlantic University, United States

    52 publications · 3.4K citations

    31

    h-index

  2. TM
    Tim Menzies

    West Virginia University, United States

    32 publications · 5.6K citations

    28

    h-index

  3. AE
    Ahmed E. Hassan

    Queen's University, Canada

    32 publications · 4.9K citations

    25

    h-index

  4. AB
    Ayşe Bener

    Boğaziçi University, Türkiye

    30 publications · 2.4K citations

    22

    h-index

  5. XX
    Xin Xia

    Singapore Management University, Singapore

    22 publications · 2.4K citations

    21

    h-index

1–5 of 3K

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 77 publications · 14.9K citations

    51

    h-index

  2. Information and Software Technology

    54 publications · 5K citations

    36

    h-index

  3. IEEE Access

    48 publications · 2.4K citations

    29

    h-index

  4. Empirical Software Engineering

    35 publications · 4K citations

    27

    h-index

  5. Journal of Systems and Software

    JSS · 30 publications · 2.3K citations

    25

    h-index

1–5