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- W2296387675 abstract "Validating experimental results in the field of storage systems is a challenging task, mainly due to the many changes in software and hardware that computational environments go through. Determining if an experiment is reproducible entails two separate tasks: re-executing the experiment and validating the results. Existing reproducibility efforts have focused on the former, envisioning techniques and infrastructures that make it easier to re-execute an experiment. In this position paper, we focus on the latter by analyzing the validation workflow that an experiment re-executioner goes through. We notice that validating results is done on the basis of experiment design and high-level goals, rather than exact quantitative metrics. Based on this insight, we introduce a declarative format for specifying the high-level components of an experiment as well as describing generic, testable conditions that serve as the basis for validation. We present a use case in the area of distributed storage systems to illustrate the usefulness of this approach." @default.
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- W2296387675 date "2015-11-15" @default.
- W2296387675 modified "2023-09-23" @default.
- W2296387675 title "Tackling the reproducibility problem in storage systems research with declarative experiment specifications" @default.
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- W2296387675 doi "https://doi.org/10.1145/2834976.2834979" @default.
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