Code Coverage Measurement

Code Coverage Measurement is a quantitative analysis technique in software testing that assesses the extent to which the source code of a program is executed during test runs by identifying the proportion of code components, such as statements, branches, or paths, exercised by the test suite.

169

Publications

9.1K

Citations

486

Authors

209

Institutions

Publications per year

2017–2026

58

Authors

486

  1. TG
    Tibor Gyimóthy

    University of Szeged, Hungary

    6 publications · 116 citations

    6

    h-index

  2. ÁB
    Árpád Beszédes

    University of Szeged, Hungary

    6 publications · 116 citations

    6

    h-index

  3. WE
    W. Eric Wong

    The University of Texas at Dallas, United States

    5 publications · 799 citations

    5

    h-index

  4. AG
    Alex Groce

    Oregon State University, United States

    5 publications · 409 citations

    5

    h-index

  5. DL
    David Lo

    Singapore Management University, Singapore

    5 publications · 320 citations

    5

    h-index

1–5 of 486

Venues

  1. IEEE Transactions on Reliability

    3 publications · 154 citations

    3

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 3 publications · 966 citations

    3

    h-index

  3. Journal of Systems and Software

    JSS · 3 publications · 269 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 3 publications · 96 citations

    3

    h-index

  5. Software Testing Verification and Reliability

    STVR · 3 publications · 68 citations

    3

    h-index

1–5