Fuzzing Oracles

Fuzzing Oracles is a formal method in software testing that serves as a decision mechanism to determine whether a program's execution under test reveals a fault by distinguishing expected from anomalous behavior during fuzz testing.

20

Publications

1.6K

Citations

80

Authors

36

Institutions

Publications per year

2017–2026

16

Authors

80

  1. ZS
    Zhendong Su

    University of California, Davis, United States

    4 publications · 281 citations

    4

    h-index

  2. TS
    Ting Su

    East China Normal University, China

    4 publications · 281 citations

    4

    h-index

  3. WK
    W. K. Chan

    City University of Hong Kong, Hong Kong SAR China

    3 publications · 852 citations

    3

    h-index

  4. CP
    C. P. Sun

    Institute of Theoretical Physics, China

    2 publications · 197 citations

    2

    h-index

  5. GP
    Geguang Pu

    East China Normal University, China

    2 publications · 84 citations

    2

    h-index

1–5 of 80

Venues

  1. 1

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  2. Journal of Software Evolution and Process

    JSEP · 1 publications · 27 citations

    1

    h-index

  3. IEEE Transactions on Software Engineering

    TSE · 1 publications · 25 citations

    1

    h-index

  4. Proceedings of the ACM on Programming Languages

    PACMPL · 1 publications · 57 citations

    1

    h-index

  5. ACM SIGPLAN Notices

    1 publications · 28 citations

    1

    h-index

1–5