|Publication type:||Conference paper|
|Type of review:||Not specified|
|Title:||A mixed graph-relational dataset of socio-technical interactions in open source systems|
|Proceedings:||Proceedings of the 17th International Conference on Mining Software Repositories|
|Conference details:||MSR '20: 17th International Conference on Mining Software Repositories, Seoul, South Korea, June 2020|
|Publisher / Ed. Institution:||Association for Computing Machinery|
|Subject (DDC):||005: Computer programming, programs and data|
|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.|
|Fulltext version:||Published version|
|License (according to publishing contract):||Licence according to publishing contract|
|Departement:||School of Engineering|
|Organisational Unit:||Institute of Applied Information Technology (InIT)|
|Appears in collections:||Publikationen School of Engineering|
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