Coverage Measures

Coverage Measures is a quantitative metric in pattern evaluation that assesses the extent to which a given set of patterns captures or represents the underlying data or phenomena of interest.

92

Publications

4.5K

Citations

258

Authors

128

Institutions

Publications per year

2017–2026

24

Authors

258

  1. RN
    Raghu N. Kacker

    National Institute of Standards and Technology, United States

    5 publications · 163 citations

    5

    h-index

  2. YL
    Yu Lei

    The University of Texas at Arlington, United States

    4 publications · 126 citations

    4

    h-index

  3. AB
    Antonia Bertolino

    Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", Italy

    4 publications · 61 citations

    4

    h-index

  4. BM
    Breno Miranda

    Universidade Federal de Pernambuco, Brazil

    4 publications · 61 citations

    4

    h-index

  5. DR
    D. Richard Kuhn

    National Institute of Standards and Technology, United States

    4 publications · 141 citations

    4

    h-index

1–5 of 258

Venues

  1. Journal of Global Health

    JGH · 3 publications · 165 citations

    3

    h-index

  2. IEEE Transactions on Reliability

    3 publications · 326 citations

    3

    h-index

  3. IEEE Software

    2 publications · 74 citations

    2

    h-index

  4. Software Quality Journal

    2 publications · 34 citations

    2

    h-index

  5. Software Testing Verification and Reliability

    STVR · 2 publications · 60 citations

    2

    h-index

1–5