A/B testing
user experience research methodology, consisting of a randomized experiment with at least two variants, denoted as A and B
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A/B testing
Summary
A/B testing is a type of test[1]. It ranks in the top 7% of type_of_test entities by monthly Wikipedia readership (809 views/month).[2]
Key Facts
- A/B testing's image is recorded as A-B testing example.png[3].
- A/B testing's instance of is recorded as type of test[4].
- A/B testing's subclass of is recorded as software testing[5].
- A/B testing's subclass of is recorded as randomized experiment[6].
- A/B testing's has use is recorded as user experience evaluation[7].
- A/B testing's Freebase ID is recorded as /m/0284x50[8].
- A/B testing's facet of is recorded as design of experiments[9].
- A/B testing's Stack Exchange tag is recorded as https://stackoverflow.com/tags/ab-testing[10].
- A/B testing's different from is recorded as ABX test[11].
- A/B testing's Quora topic ID is recorded as A-B-Testing[12].
- A/B testing's Microsoft Academic ID is recorded as 2780016347[13].
- A/B testing's GitHub topic is recorded as ab-testing[14].
- A/B testing's GitLab topic ID is recorded as A%252FB+Testing[15].
Why It Matters
A/B testing ranks in the top 7% of type_of_test entities by monthly Wikipedia readership (809 views/month).[2] It has Wikipedia articles in 21 language editions, a strong signal of global cultural recognition.[16] It is known by 10 alternative names across languages and contexts.[17]