Code Churn

Code Churn is a software metric that quantifies the frequency and volume of changes to source code over time, distinguishing itself by measuring the instability or volatility of code modifications within a development lifecycle.

70

Publications

5.7K

Citations

190

Authors

86

Institutions

Publications per year

2017–2026

17

Authors

190

  1. NN
    Nachiappan Nagappan

    Microsoft (United States), United States

    8 publications · 1.6K citations

    8

    h-index

  2. LW
    Laurie Williams

    North Carolina State University, United States

    4 publications · 965 citations

    4

    h-index

  3. AE
    Ahmed E. Hassan

    Queen's University, Canada

    4 publications · 298 citations

    4

    h-index

  4. AM
    Andrew Meneely

    North Carolina State University, United States

    4 publications · 960 citations

    4

    h-index

  5. AM
    Atif M. Memon

    University of Maryland, College Park, United States

    4 publications · 360 citations

    4

    h-index

1–5 of 190

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 4 publications · 741 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 41 citations

    2

    h-index

  3. Journal of Systems and Software

    JSS · 2 publications · 87 citations

    2

    h-index

  4. Science of Computer Programming

    1 publications · 21 citations

    1

    h-index

  5. Expert Systems with Applications

    1 publications · 10 citations

    1

    h-index

1–5