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Mastering Uncertainty in Performance Estimations of Configurable Software Systems

Supplementary Material

With this web site, we provide the following material:

We also provide data containing the accuracies of our models as well as predicted confidence interals as well as an implementation of our probabilistic programming approach with an updated Dockerscript for an easier set-up.

Extended Supplementary Material

As a result of a more detailed analysis uncertainty within the influences of options and interactions (terms) on execution time and energy consumption, we additionally provide

as well as

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Companion website to the ASE'20 submission "Mastering Uncertainty in Performance Estimations of Configurable Software Systems"

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