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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Dataset . 2020
License: CC BY
Data sources: ZENODO
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Dataset . 2020
License: CC BY
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License: CC BY
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RTPTorrent: An Open-source Dataset for Evaluating Regression Test Prioritization

Authors: Mattis, Toni; Rein, Patrick; Dürsch, Falco; Hirschfeld, Robert;

RTPTorrent: An Open-source Dataset for Evaluating Regression Test Prioritization

Abstract

This dataset is designed to be used in evaluation studies of regression test prioritization techniques. It includes 20 open-source Java projects from GitHub and over 100,000 logs of real-world build logs from TravisCI. The projects span a wide range with regard to size, number of contributors, and maturity of open-source Java projects available on GitHub. Futher, the dataset includes the results of baseline approaches to ease the comparison of new techniques applied to the dataset. A readme file with a more detailed description of the structure of the dataset is included. For even more information see the corresponding MSR 2020 publication. Versions: 2020-09-23 (version 1.1) Updated archived `deeplearning4j` repository with a fork that contains all of the original commits. Repository at the original GitHub location had been replaced. Defect identified by Daniel Elsner (Technische Universität München). Renamed root folder from MSR2 to rtp-torrent 2020-05-25 (version 1.0) Initial release

Related Organizations
Keywords

test case prioritization, GitHub, regression test prioritization, TravisCI, Java

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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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2
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