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  • 标题:A Computational Reproducibility Benchmark
  • 本地全文:下载
  • 作者:Fernando Chirigati ; Matthias Troyer ; Dennis Shasha
  • 期刊名称:Bulletin of the Technical Committee on Data Engineering
  • 出版年度:2013
  • 卷号:36
  • 期号:4
  • 出版社:IEEE Computer Society
  • 摘要:Creating and testing reproducible computational experiments is hard. Researchers must derive a com- pendium that encapsulates all the components needed to reproduce a result. Reviewers must unpack the encapsulated components, run them in an environment that could be different from the source en- vironment, and verify the results. Although many tools support some aspect of reproducibility, there is no common benchmark against which single or multiple tools can be tested. This paper describes a benchmark that can be used to categorize and better understand existing systems. The benchmark will also serve as the basis for a competition whereby tool builders will demonstrate if and how their systems support end-to-end reproducibility
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