Test Coverage Analysis

Test Coverage Analysis is a software validation method that quantifies the extent to which a program's source code is executed by a test suite, distinguishing itself from other validation techniques by measuring structural completeness through predefined coverage criteria such as statement, branch, or path coverage.

350

Publications

17K

Citations

931

Authors

386

Institutions

Publications per year

2017–2026

59

Authors

931

  1. MJ
    Mary Jean Harrold

    Georgia Institute of Technology, United States

    10 publications · 1.8K citations

    10

    h-index

  2. ML
    Mary Lou Soffa

    University of Pittsburgh, United States

    8 publications · 1.1K citations

    8

    h-index

  3. JH
    J.R. Horgan

    Core Competence, United States

    8 publications · 931 citations

    8

    h-index

  4. WE
    W. Eric Wong

    The University of Texas at Dallas, United States

    7 publications · 752 citations

    7

    h-index

  5. JW
    J.A. Waicukauski

    Synopsys (United States), United States

    5 publications · 81 citations

    5

    h-index

1–5 of 931

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 17 publications · 1.8K citations

    15

    h-index

  2. ACM SIGSOFT Software Engineering Notes

    SEN · 9 publications · 325 citations

    9

    h-index

  3. Software Testing Verification and Reliability

    STVR · 4 publications · 572 citations

    4

    h-index

  4. International Conference on Software Engineering

    Conference · 4 publications · 236 citations

    4

    h-index

  5. ACM Transactions on Software Engineering and Methodology

    TOSEM · 3 publications · 797 citations

    3

    h-index

1–5