Complexity Measurement

Complexity Measurement is a software metric that quantifies the structural intricacy of a program by evaluating the number and interrelationships of its control structures, thereby distinguishing it from other software metrics focused on size, effort, or quality.

916

Publications

58.8K

Citations

1.8K

Authors

760

Institutions

Publications per year

2017–2026

136

Authors

1.8K

  1. SM
    Sanjay Misra

    Atilim University, Türkiye

    18 publications · 473 citations

    15

    h-index

  2. TM
    Taghi M. Khoshgoftaar

    Florida Atlantic University, United States

    12 publications · 709 citations

    12

    h-index

  3. JC
    John C. Munson

    University of Idaho, United States

    13 publications · 737 citations

    12

    h-index

  4. AK
    Arun K. Misra

    McGill University, Canada

    10 publications · 281 citations

    10

    h-index

  5. JC
    Jorge Cardoso

    University of Coimbra, Portugal

    8 publications · 499 citations

    8

    h-index

1–5 of 1.8K

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 33 publications · 12.2K citations

    31

    h-index

  2. ACM SIGSOFT Software Engineering Notes

    SEN · 23 publications · 547 citations

    15

    h-index

  3. Journal of Systems and Software

    JSS · 22 publications · 856 citations

    15

    h-index

  4. Complexity

    11 publications · 288 citations

    11

    h-index

  5. ACM SIGPLAN Notices

    11 publications · 593 citations

    11

    h-index

1–5