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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
test case prioritization, GitHub, regression test prioritization, TravisCI, Java
test case prioritization, GitHub, regression test prioritization, TravisCI, Java
| 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). | 2 | |
| 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 |
| views | 50 | |
| downloads | 25 |

Views provided by UsageCounts
Downloads provided by UsageCounts