Corpus Minimization

Corpus Minimization is a fuzz testing technique that reduces the size of an input corpus by eliminating redundant test cases while preserving coverage and fault-detection capability.

12

Publications

538

Citations

27

Authors

14

Institutions

Publications per year

2017–2026

4

Authors

27

  1. RH
    Rebecca Hwa

    University of Pittsburgh, United States

    2 publications · 95 citations

    2

    h-index

  2. CP
    Cindy P. Schriber

    Thomson Reuters (United States), United States

    1 publications · 15 citations

    1

    h-index

  3. CV
    Cynthia Van Hee

    Ghent University, Belgium

    1 publications · 293 citations

    1

    h-index

  4. KS
    Koushik Sen

    University of California, Berkeley, United States

    1 publications · 15 citations

    1

    h-index

  5. VH
    Véronique Hoste

    Ghent University, Belgium

    1 publications · 293 citations

    1

    h-index

1–5 of 27

Venues

  1. RASLAN

    1 publications · 42 citations

    1

    h-index

  2. 1

    h-index

  3. Lirias (KU Leuven)

    Repository · 1 publications · 12 citations

    1

    h-index

1–3