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
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3.3K
Citations
172
Authors
65
Institutions
Publications per year
2017–2026
15
Parents
38
Pin‐Yu Chen, Huan Zhang, Yash Sharma et al. · 2017 · 1.7K citations · Full text
Designing and deploying online field experiments
Eytan Bakshy, Dean Eckles, Michael S. Bernstein · 2014 · 179 citations
Top Challenges from the first Practical Online Controlled Experiments Summit
Somit Gupta, Ronny Kohavi, Diane Tang et al. · ACM SIGKDD Explorations Newsletter · 2019 · 139 citations
Business, Data Science, A/b Testing +10
Ramesh Johari, Pete Koomen, Leonid Pekelis et al. · 2017 · 129 citations
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Centre National de la Recherche Scientifique
Paris, France
3 h-index
8 publications
280 citations

University of British Columbia
Vancouver, Canada
2 h-index
5 publications
58 citations

Université Grenoble Alpes
Saint-Martin-d'Hères, France
2 h-index
5 publications
116 citations
Google (United States)
Mountain View, United States
2 h-index
6 publications
720 citations

Malmö University
Malmo, Sweden
2 h-index
3 publications
116 citations
Stanford University
Stanford, United States
2 h-index
3 publications
437 citations
Vibrant Data (United States)
San Francisco, United States
1 h-index
18 publications
1.8K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
1 h-index
4 publications
112 citations
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1 publications · 20 citations
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1 publications · 37 citations
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1 publications · 18 citations
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1 publications · 18 citations
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Repository · 1 publications · 12 citations
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