The Classics Never Go Out of Style: An Empirical Study of Downgrades from the Bazel Build Technology

Name: The Classics Never Go Out of Style: An Empirical Study of Downgrades from the Bazel Build Technology
Keywords: 9. Industry and infrastructure

Alfadel, Mahmoud; McIntosh, Shane

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ZENODO

Dataset . 2023

License: CC BY

Data sources: Datacite

ZENODO

Dataset . 2023

License: CC BY

Data sources: Datacite

ZENODO

Dataset . 2023

License: CC BY

Data sources: Datacite

ZENODO

Dataset . 2023

License: CC BY

Data sources: Datacite

The Classics Never Go Out of Style: An Empirical Study of Downgrades from the Bazel Build Technology

Research datakeyboard_double_arrow_right Dataset 01 Aug 2023Publisher:Zenodo

Authors: Alfadel, Mahmoud; McIntosh, Shane;

doi: 10.5281/zenodo.8206386 , 10.5281/zenodo.8206385 , 10.5281/zenodo.10408047 , 10.5281/zenodo.10147769

The Classics Never Go Out of Style: An Empirical Study of Downgrades from the Bazel Build Technology

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Abstract

This package contains the dataset used in our study: "The Classics Never Go Out of Style: An Empirical Study of Downgrades from the Bazel Build Technology." For more information on how to understand the folder structure and dataset, please read the README.md.

2 Research products, page 1 of 1

Impact byBIP!

	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).	0
	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.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average