Code Complexity Analysis

Code Complexity Analysis is a software engineering metric that quantifies the intricacy of source code structures by evaluating control flow, branching, and nesting depth to assess maintainability and potential fault-proneness in program units.

376

Publications

31.3K

Citations

962

Authors

443

Institutions

Publications per year

2017–2026

66

Authors

962

  1. TM
    Taghi M. Khoshgoftaar

    Florida Atlantic University, United States

    6 publications · 454 citations

    6

    h-index

  2. DG
    Dror G. Feitelson

    Hebrew University of Jerusalem, Israel

    6 publications · 166 citations

    6

    h-index

  3. JC
    John C. Munson

    University of Idaho, United States

    5 publications · 527 citations

    5

    h-index

  4. LW
    Laurie Williams

    North Carolina State University, United States

    5 publications · 1K citations

    5

    h-index

  5. AC
    Andrea Capiluppi

    The Open University, United Kingdom

    5 publications · 151 citations

    5

    h-index

1–5 of 962

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 18 publications · 8.2K citations

    18

    h-index

  2. Journal of Systems and Software

    JSS · 10 publications · 528 citations

    10

    h-index

  3. ACM SIGPLAN Notices

    11 publications · 1.3K citations

    10

    h-index

  4. International Conference on Software Engineering

    Conference · 6 publications · 299 citations

    6

    h-index

  5. ACM SIGSOFT Software Engineering Notes

    SEN · 5 publications · 105 citations

    5

    h-index

1–5