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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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The Paradox of No Logging Being Slower Than Logging - Data

Authors: David Georg Reichelt; Reiner Jung; Andre van Hoorn;

The Paradox of No Logging Being Slower Than Logging - Data

Abstract

This dataset contains the result data of the paper "More is Less in MooBench? The Paradox of No Logging Being Slower Than Logging". In particular, it contains: reproducability.tar.xz: The data for reproducing the no-logging-faster-than-logging effect on i7-4770, i7-6700 and Raspberry Pi 4 for Java 11 and 17 (Section 3.1), and the data of increasing the artificial overhead (Section 3.3) results.tar.xz: The plotted results from the resproducibility execution graphs_100_withPerf.tar.xz: The resulting data for the analysis with perf (Section 3.2) dumpqueue.tar.xz: The data for using the DumpQueue, which was freshly introduced because of the findings of this paper All results are reproducible using the commands from the following gist: https://gist.github.com/DaGeRe/c7159297bad4bd13fb556dcf696d0699 In case the used repositories do not exist any longer, this dataset contains REPRODUCTION.md, which describes the execution moobench-2023-08-02.tar.xz, which is the git repository in the state that was used to execute the experiments

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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).
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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.
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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.
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