Heuristic Mutation

Heuristic Mutation is a mutation operator that employs domain-specific rules or strategies to guide the introduction of changes in software artifacts, distinguishing itself from random or exhaustive approaches by leveraging heuristic knowledge to enhance fault detection or testing efficiency.

31

Publications

972

Citations

98

Authors

43

Institutions

Publications per year

2017–2026

15

Authors

98

  1. BA
    Bahman Arasteh

    Istinye University, Türkiye

    2 publications · 40 citations

    2

    h-index

  2. RP
    R. Premkumar

    Mount Zion College of Engineering and Technology

    1 publications · 38 citations

    1

    h-index

  3. DH
    Dakuo He

    Northeastern University, China

    1 publications · 20 citations

    1

    h-index

  4. MW
    Ming Wen

    Huazhong University of Science and Technology, China

    1 publications · 27 citations

    1

    h-index

  5. RM
    R. M. Cameron-Jones

    University of Tasmania, Australia

    1 publications · 64 citations

    1

    h-index

1–5 of 98

Venues

  1. Software Testing Verification and Reliability

    STVR · 1 publications · 15 citations

    1

    h-index

  2. Mathematical Problems in Engineering

    MPE · 1 publications · 10 citations

    1

    h-index

  3. IEEE Access

    1 publications · 19 citations

    1

    h-index

  4. Journal of Software

    1 publications · 40 citations

    1

    h-index

  5. Future Generation Computer Systems

    FGCS · 1 publications · 13 citations

    1

    h-index

1–5