Experiment Logging

Experiment Logging is a systematic method within experimentation platforms that records detailed metadata, inputs, configurations, outputs, and performance metrics of experimental trials to ensure reproducibility, auditability, and comparative analysis across iterative research developments.

38

Publications

3.3K

Citations

172

Authors

65

Institutions

Publications per year

2017–2026

15

Authors

172

  1. EB
    Eytan Bakshy

    Meta (United States), United States

    2 publications · 318 citations

    2

    h-index

  2. LV
    Lukas Vermeer

    Microsoft (United States), United States

    2 publications · 159 citations

    2

    h-index

  3. ML
    Miron Livny

    University of Wisconsin–Madison, United States

    2 publications · 93 citations

    2

    h-index

  4. SG
    Somit Gupta

    Microsoft (United States), United States

    2 publications · 215 citations

    2

    h-index

  5. AF
    Aleksander Fabijan

    Malmö University, Sweden

    2 publications · 96 citations

    2

    h-index

1–5 of 172

Venues

  1. ACM SIGOPS Operating Systems Review

    1 publications · 20 citations

    1

    h-index

  2. Nursing mirror

    1 publications · 37 citations

    1

    h-index

  3. Appetite

    1 publications · 18 citations

    1

    h-index

  4. MIS Quarterly

    1 publications · 18 citations

    1

    h-index

  5. MPG.PuRe (Max Planck Society)

    Repository · 1 publications · 12 citations

    1

    h-index

1–5