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zhd.dev
| | alexey.radul.name
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| | [AI summary] The text discusses the development of a statistical test framework for evaluating stochastic software behavior, emphasizing the interplay between significance, effect size, power, and computational cost. It highlights the need for a framework that can handle probabilistic outcomes, compose multiple tests, and balance testing thoroughness with efficiency. Key points include the use of statistical methods like hypothesis testing, the importance of controlling false pass and false fail rates, and the challenges of composing multiple tests into a cohesive test suite. The text also touches on Bayesian approaches and the practical considerations of implementing such a framework.
| | vickiboykis.com
4.8 parsecs away

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| | What are they? Why are they?
| | hypothesis.works
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| | Test faster, fix more
| | wimpysworld.com
55.4 parsecs away

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