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A/B testing, feature flags, continuous experimentation #21
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"Online controlled experiments at large" KDD'2013 about the Microsoft use case |
"Holistic Configuration Management at Facebook" |
It’s All A/Bout Testing: The Netflix Experimentation Platform |
How The Huffington Post uses real-time testing to write better headlines |
Dynamic knobs for responsive power-aware computing |
About feature toggles: The modular and feature toggle architectures of Google Chrome |
Dark launching has its downsides: Jane Manchun Wong: App researcher who unlocks new features before they launch |
Top 5 mistakes with statistics in A/B testing |
Bullet Train: Open-source feature flagging |
The Netflix Recommender System: Algorithms, Business Value, and Innovation |
There exist different techniques and frameworks to engineer feature flags. They are good topics for a contribution to the course |
Unleash: Another Open-source feature flags platform https://www.getunleash.io/ |
Gitlab includes unleashed. You can controll the feature flags in your project directly from within Gitlab. https://docs.gitlab.com/ee/operations/feature_flags.html |
Snowplow Open Source, the world’s largest developer-first engine for collecting behavioral data. |
The Only Guide to Dark Launching You’ll Ever Need |
"Split provides everything you need to create, target, and manage feature flags." |
A/B Testing: A Systematic Literature Review. https://www.sciencedirect.com/science/article/pii/S0164121224000542?dgcid=rss_sd_all |
A tool for refactoring code related to feature flag APIs |
Wikipedia:
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