Temporal Code Analysis

Temporal Code Analysis is a methodological framework within software analytics that systematically examines the evolution of source code over time by analyzing version control histories to identify patterns, anomalies, and trends in software development processes.

22

Publications

835

Citations

69

Authors

36

Institutions

Publications per year

2017–2026

6

Authors

69

  1. SS
    Sharon Shoham

    Tel Aviv University, Israel

    2 publications · 122 citations

    2

    h-index

  2. HY
    Hui Yang

    Monash University, Australia

    2 publications · 58 citations

    2

    h-index

  3. AM
    Alon Mishne

    Technion – Israel Institute of Technology, Israel

    2 publications · 122 citations

    2

    h-index

  4. EY
    Eran Yahav

    Technion – Israel Institute of Technology, Israel

    2 publications · 122 citations

    2

    h-index

  5. XS
    Xiaobing Sun

    Yangzhou University, China

    2 publications · 58 citations

    2

    h-index

1–5 of 69

Venues

  1. Experimental Brain Research

    1 publications · 38 citations

    1

    h-index

  2. Information and Software Technology

    1 publications · 14 citations

    1

    h-index

  3. Physical Review Letters

    PRL · 1 publications · 19 citations

    1

    h-index

  4. Journal of Neuroscience

    1 publications · 49 citations

    1

    h-index

  5. Journal of Systems and Software

    JSS · 1 publications · 41 citations

    1

    h-index

1–5