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dc.contributor.authorCollberg, Christian S
dc.contributor.authorProebsting, Todd A.
dc.date.accessioned2016-12-08T16:24:16Z
dc.date.available2016-12-08T16:24:16Z
dc.date.issued2016-10-27
dc.identifier.urihttp://hdl.handle.net/10150/621552
dc.descriptionPresentation given on October 27, 2016 at Data Reproducibility: Integrity and Transparency program as part of Open Access Week 2016.en
dc.description.abstractWe describe a study into the extent to which Computer Systems researchers share their code and data. Starting with 601 papers from ACM conferences and journals, we examine the papers whose results were backed by code to see for what fraction of these we would be able to obtain and build the code. Based on the results of this study, we propose a novel sharing specification scheme that requires researchers to specify the level of sharing that reviewers and readers can assume from a paper.
dc.language.isoen_USen
dc.publisherUniversity of Arizona Library (Tucson, AZ)en
dc.subjectdata reproducibilityen
dc.subjectcomputer repeatabilityen
dc.subjectcomputer code sharingen
dc.subjectData Sharingen
dc.titleSharing Specifications or Repeatability in Computer Systems Researchen_US
dc.typePresentationen
dc.contributor.departmentUniversity of Arizonaen
refterms.dateFOA2018-08-13T19:25:46Z
html.description.abstractWe describe a study into the extent to which Computer Systems researchers share their code and data. Starting with 601 papers from ACM conferences and journals, we examine the papers whose results were backed by code to see for what fraction of these we would be able to obtain and build the code. Based on the results of this study, we propose a novel sharing specification scheme that requires researchers to specify the level of sharing that reviewers and readers can assume from a paper.


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