Constraint-guided Fuzzing

Constraint-Guided Fuzzing is a fuzz testing method that systematically generates inputs by leveraging symbolic constraints derived from program semantics to direct the exploration of execution paths, thereby distinguishing itself from other fuzzing techniques through its reliance on constraint solving to enhance test coverage and bug detection.

13

Publications

587

Citations

53

Authors

20

Institutions

Publications per year

2017–2026

9

Authors

53

  1. PG
    Patrice Godefroid

    Microsoft (United States), United States

    2 publications · 206 citations

    2

    h-index

  2. DM
    Dávid Molnár

    Microsoft (United States), United States

    2 publications · 206 citations

    2

    h-index

  3. EB
    Ella Bounimova

    Microsoft (United States), United States

    2 publications · 206 citations

    2

    h-index

  4. YY
    Yupeng Yang

    Xi'an Jiaotong University, China

    1 publications · 43 citations

    1

    h-index

  5. AM
    Aravind Machiry

    University of California, Santa Barbara, United States

    1 publications · 64 citations

    1

    h-index

1–5 of 53

Venues

  1. Information and Software Technology

    1 publications · 19 citations

    1

    h-index

  2. Open MIND

    Repository · 1 publications · 54 citations

    1

    h-index

  3. 2013 35th International Conference on Software Engineering (ICSE)

    Conference · 1 publications · 89 citations

    1

    h-index

  4. Science China Information Sciences

    1 publications · 10 citations

    1

    h-index

1–5