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Snapshot Testing Dataset - Repositories using Jest

Authors: Bui, Emily; Rocha, Henrique;

Snapshot Testing Dataset - Repositories using Jest

Abstract

This is a dataset of GitHub repositories that were tagged with Jest, for JavaScript and TypeScript languages, that used Snapshot Testing. Information on all repositories is available in the file "0_Snapshot Testing Dataset.xlsx" (named to be the very first file). Most files represent the repository packed in targz format as "<user>_<repository_name>.tar.gz". We split large repositories (>50MB) using the "split" command on Unix (use cat to rejoin them). In total there are 686 repositories. We collected only public repositories that were tagged with the Jest keyword, for JavaScript and TypeScript, had at least 1 star, and at least 1 snapshot file. The spreadsheet data was collected on July 13, 2022. We also have all scripts used to gather this data. Here, "python_scripts.zip" has all python scripts to find repositories based on queries and save their attributes, and "node_and_shell_scripts.zip" contain the node and shell scripts to download a tarball of the repository. Therefore you should first use the python scripts to collect repositories & their attribute, and later use the node & shell to download a copy of the repositories. Moreover, inside each script folder/zip there is a Readme file with instructions and examples. Our GitHub repository is an exact copy of this dataset <https://github.com/hscrocha/SnapshotTestingDataset>, but it is much better organized into folders and the README files for the scripts will be nicely displayed on it.

Related Organizations
Keywords

Snapshot Testing, UI Testing, Software Testing, Testing, Snapshot Testing, UI Testing

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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!
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