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Self-Verifiable Experimentation Pipelines

descriptionPublicationkeyboard_double_arrow_right Preprint , Article 12 Sep 2018 English Publisher:Zenodo
Authors: Jimenez, Ivo; Maltzahn, Carlos;

doi: 10.5281/zenodo.1422007 , 10.5281/zenodo.1414619 , 10.5281/zenodo.1414616 , 10.5281/zenodo.1422203

Self-Verifiable Experimentation Pipelines

Abstract

We make the case for incorporating self-verifiable experimentation pipelines in journals and conferences as a way of streamlining the review process for code and data associated to academic articles.

Related Organizations
Keywords

devops, openscience, opendata, sciops, state of cs practice, reproducibility, automation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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