A/A Testing is a variant of randomized controlled A/B testing in which two or more experimental conditions deliberately present identical treatments to randomly assigned units in order to verify the absence of systematic differences attributable to the experimentation platform, sampling, or measurement process.
5
Publications
150
Citations
14
Authors
6
Institutions
Publications per year
2017–2026
2
Variants
A/a Test
Parents
Publications
5
Evaluating Mobile Apps with A/B and Quasi A/B Tests
Ya Xu, Nanyu Chen · 2016 · 58 citations
BIST for D/A and A/D converters
K. Arabi, I. Kaminska, J. Rzeszut · IEEE Design & Test of Computers · 1996 · 39 citations
The total Turing test and the Loebner prize
David Powers · 1998 · 22 citations · Full text
Alex Deng, Pavel Dmitriev, Somit Gupta et al. · 2017 · 17 citations
1–5 of 5
Authors
14
- ZF
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h-index
- PD
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- SG
1
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- JR
1
h-index
- IK
1
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1–5 of 14
Institutions
6
Microsoft (United States)
Redmond, United States
1 h-index
5 publications
85 citations
Flinders University
Adelaide, Australia
1 h-index
1 publications
22 citations
LinkedIn (United States)
Sunnyvale, United States
1 h-index
2 publications
116 citations
Polytechnique Montréal
Montreal, Canada
1 h-index
2 publications
78 citations
Warsaw University of Technology
Warsaw, Poland
1 h-index
1 publications
39 citations
University of Illinois Chicago
Chicago, United States
1 h-index
2 publications
28 citations
1–6 of 6
Venues
- IEEE Design & Test of Computers
1 publications · 39 citations
1
h-index
- Proceedings of the International AAAI Conference on Web and Social Media
1 publications · 14 citations
1
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1–2