Regression Test Selection

Regression Test Selection is a test optimization technique that identifies and selects a subset of existing test cases to re-execute after software modifications, based on their relevance to the changed code, thereby reducing testing effort while maintaining fault-detection effectiveness.

192

Publications

13.9K

Citations

376

Authors

150

Institutions

Publications per year

2017–2026

36

Authors

376

  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

    25 publications · 3.8K citations

    21

    h-index

  3. DM
    Darko Marinov

    University of Illinois Urbana-Champaign, United States

    12 publications · 759 citations

    12

    h-index

  4. MG
    Milos Gligoric

    The University of Texas at Austin, United States

    9 publications · 484 citations

    9

    h-index

  5. AO
    Alessandro Orso

    Georgia Institute of Technology, United States

    8 publications · 878 citations

    8

    h-index

1–5 of 376

Venues

  1. Software Testing Verification and Reliability

    STVR · 6 publications · 1.9K citations

    6

    h-index

  2. Journal of Systems and Software

    JSS · 6 publications · 158 citations

    6

    h-index

  3. IEEE Transactions on Software Engineering

    TSE · 5 publications · 1.2K citations

    5

    h-index

  4. ACM Transactions on Software Engineering and Methodology

    TOSEM · 5 publications · 2K citations

    5

    h-index

  5. 3

    h-index

1–5