Source Code Lineage Analysis

Source Code Lineage Analysis is a methodological framework within version control systems research that systematically traces and reconstructs the evolutionary dependencies and origin relationships among code segments across revisions to determine their provenance and modification history.

5

Publications

815

Citations

9

Authors

6

Institutions

Publications per year

2017–2026

1

Authors

9

  1. MK
    Miryung Kim

    University of California, Los Angeles, United States

    2 publications · 733 citations

    2

    h-index

  2. VS
    Vibha Sazawal

    University of Washington, United States

    2 publications · 733 citations

    2

    h-index

  3. GC
    Gail C. Murphy

    University of British Columbia, Canada

    2 publications · 733 citations

    2

    h-index

  4. DN
    David Notkin

    University of Washington, United States

    2 publications · 733 citations

    2

    h-index

  5. JA
    James A. Jones

    University of California, Irvine, United States

    1 publications · 20 citations

    1

    h-index

1–5 of 9

Venues

  1. ACM SIGSOFT Software Engineering Notes

    SEN · 1 publications · 206 citations

    1

    h-index

  2. Information and Software Technology

    1 publications · 49 citations

    1

    h-index

1–2