Test Data Generation

Test Data Generation is a software engineering process that systematically produces input data and corresponding expected outputs to validate the correctness, reliability, and performance of a software system under test, distinguishing it from general test activities by its focused aim on creating meaningful, representative, and often automated data instances tailored to specific test cases and coverage criteria.

853

Publications

47.1K

Citations

2K

Authors

691

Institutions

Publications per year

2017–2026

186

Authors

2K

  1. PM
    Phil McMinn

    University of Sheffield, United Kingdom

    29 publications · 3.7K citations

    25

    h-index

  2. MH
    Mark Harman

    University College London, United Kingdom

    25 publications · 3.3K citations

    24

    h-index

  3. AA
    Andrea Arcuri

    Simula Research Laboratory, Norway

    19 publications · 1.6K citations

    17

    h-index

  4. DG
    Dunwei Gong

    China University of Mining and Technology, China

    16 publications · 363 citations

    13

    h-index

  5. AG
    Arnaud Gotlieb

    Simula Research Laboratory, Norway

    13 publications · 605 citations

    12

    h-index

1–5 of 2K

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 28 publications · 8.2K citations

    24

    h-index

  2. arXiv (Cornell University)

    Repository · 16 publications · 1.1K citations

    14

    h-index

  3. Software Testing Verification and Reliability

    STVR · 13 publications · 3.3K citations

    13

    h-index

  4. ACM SIGSOFT Software Engineering Notes

    SEN · 16 publications · 692 citations

    13

    h-index

  5. Information and Software Technology

    11 publications · 418 citations

    11

    h-index

1–5