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- W2294924464 abstract "We need to aggregate metric values to make quality assessment actionable. However, due to properties of metric values, i.e., unknown distributions and different measurement scales, they are difficult to aggregate. We present and evaluate a method to aggregate metric values based on observed numerical distributions that are converted into cumulative density functions. We use these to determine the probability of each metric and file, and aggregate these. Our limited study suggests that the method improves correctness, communication, and the ability to take action. However, more evaluation is required." @default.
- W2294924464 created "2016-06-24" @default.
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- W2294924464 date "2015-11-01" @default.
- W2294924464 modified "2023-09-26" @default.
- W2294924464 title "Probabilistic Quality Models to Improve Communication and Actionability" @default.
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- W2294924464 doi "https://doi.org/10.1109/asew.2015.16" @default.
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