Search-based Software Testing

Search-Based Software Testing is a software testing technique that employs metaheuristic search algorithms to automatically generate test cases by exploring the input space with the objective of optimizing a predefined test adequacy criterion.

403

Publications

22.7K

Citations

754

Authors

342

Institutions

Publications per year

2017–2026

126

Authors

754

  1. MH
    Mark Harman

    University College London, United Kingdom

    40 publications · 3.2K citations

    29

    h-index

  2. PM
    Phil McMinn

    University of Sheffield, United Kingdom

    27 publications · 3.5K citations

    24

    h-index

  3. AA
    Andrea Arcuri

    Simula Research Laboratory, Norway

    35 publications · 2.1K citations

    22

    h-index

  4. GF
    Gordon Fraser

    University of Sheffield, United Kingdom

    30 publications · 2K citations

    21

    h-index

  5. AP
    Annibale Panichella

    Delft University of Technology, Netherlands

    11 publications · 540 citations

    11

    h-index

1–5 of 754

Venues

  1. Information and Software Technology

    17 publications · 1.1K citations

    16

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 14 publications · 2.5K citations

    14

    h-index

  3. Software Testing Verification and Reliability

    STVR · 9 publications · 2.5K citations

    9

    h-index

  4. Empirical Software Engineering

    8 publications · 1.1K citations

    8

    h-index

  5. ACM Transactions on Software Engineering and Methodology

    TOSEM · 7 publications · 244 citations

    7

    h-index

1–5