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

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