@Conference{DBLP:conf/msr/AshrafMEP20,
  author    = {Usman Ashraf and Christoph Mayr-Dorn and Alexander Egyed and Sebastiano Panichella},
  booktitle = {{MSR} '20: 17th International Conference on Mining Software Repositories, Seoul, Republic of Korea, 29-30 June, 2020},
  title     = {A Mixed Graph-Relational Dataset of Socio-technical Interactions in Open Source Systems},
  year      = {2020},
  editor    = {Sunghun Kim and Georgios Gousios and Sarah Nadi and Joseph Hejderup},
  pages     = {538--542},
  publisher = {{ACM}},
  abstract  = {Several researchers have studied that developers contributing to open source systems tend to self-organize in "emerging" teams. The structure of these latent teams has a significant impact on software quality, with development teams structure somewhat reflected in the way developers communicate and contribute in the subsystems of a system. Therefore, in order to study socio-technical interactions as well as the software evolution dynamics of open source systems, in this paper, we present a novel dataset, gathered from 20 open source projects, which report the developers' activities in the scope of commits and issues at the level of subsystems. Thus, the new, generated dataset comprises of emerging and explicit links among developers, commits, issues, and source code artifacts, with data grouped around the subsystems point of view, which can be used to better study the system dynamics behind the extracted sociotechnical interactions.},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/conf/msr/AshrafMEP20.bib},
  doi       = {10.1145/3379597.3387492},
  file      = {:Conferences/MSR 2020 - Mixed_Graph_Relational_Dataset/MSR 2020 - Mixed_Graph_Relational_Dataset-preprint.pdf:PDF},
  keywords  = {FWF P29415},
  timestamp = {Thu, 24 Sep 2020 10:34:38 +0200},
  url       = {https://doi.org/10.1145/3379597.3387492},
}