Implementation Validation

Implementation Validation is a methodological contribution within A/A testing that verifies the correctness and consistency of experimental setup and execution by ensuring that identical treatments produce statistically indistinguishable outcomes, thereby confirming the integrity of the testing framework.

13

Publications

703

Citations

107

Authors

43

Institutions

Publications per year

2017–2026

4

Authors

107

  1. AF
    Antoine Fraboulet

    Institut National des Sciences Appliquées de Lyon, France

    2 publications · 93 citations

    2

    h-index

  2. GC
    Guillaume Chelius

    Institut National des Sciences Appliquées de Lyon, France

    2 publications · 93 citations

    2

    h-index

  3. ÉF
    Éric Fleury

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 93 citations

    2

    h-index

  4. KL
    Kimmo Louekari

    Ministry of Agriculture and Forestry, Finland

    1 publications · 40 citations

    1

    h-index

  5. SG
    Stephen G. Young

    University of California, Los Angeles, United States

    1 publications · 380 citations

    1

    h-index

1–5 of 107

Venues

  1. The Lancet

    1 publications · 380 citations

    1

    h-index

  2. IEEE Access

    1 publications · 51 citations

    1

    h-index

  3. ACM SIGMETRICS Performance Evaluation Review

    PER · 1 publications · 17 citations

    1

    h-index

  4. IEEE Transactions on Nuclear Science

    1 publications · 15 citations

    1

    h-index

  5. Toxicology in Vitro

    1 publications · 40 citations

    1

    h-index

1–5