Test Selection

Test Selection is a software testing technique that identifies and prioritizes a subset of test cases from an existing test suite for re-execution based on specific criteria, such as code changes or fault detection potential, to optimize testing effort while maintaining effectiveness.

577

Publications

43.4K

Citations

1.5K

Authors

626

Institutions

Publications per year

2017–2026

96

Authors

1.5K

  1. MJ
    Mary Jean Harrold

    Georgia Institute of Technology, United States

    25 publications · 4.5K citations

    24

    h-index

  2. GR
    Gregg Rothermel

    University of Nebraska–Lincoln, United States

    22 publications · 3.7K citations

    20

    h-index

  3. DM
    Darko Marinov

    University of Illinois Urbana-Champaign, United States

    11 publications · 743 citations

    11

    h-index

  4. YL
    Yves Le Traon

    University of Luxembourg, Luxembourg

    11 publications · 473 citations

    11

    h-index

  5. DJ
    Debra J. Richardson

    University of California, Irvine, United States

    9 publications · 398 citations

    9

    h-index

1–5 of 1.5K

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 16 publications · 3.6K citations

    15

    h-index

  2. ACM SIGSOFT Software Engineering Notes

    SEN · 12 publications · 657 citations

    11

    h-index

  3. Journal of Systems and Software

    JSS · 9 publications · 251 citations

    9

    h-index

  4. PubMed

    Repository · 8 publications · 655 citations

    8

    h-index

  5. 8

    h-index

1–5