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Titel
A mixed graph-relational dataset of socio-technical interactions in open source systems
AutorInnenAshraf, Usman ; Mayr-Dorn, Christoph ; Egyed, Alexander ; Panichella, Sebastiano
KörperschaftFonds zur Förderung der Wissenschaftlichen Forschung
Enthalten in
MSR '20: Proceedings of the 17th International Conference on Mining Software Repositories, 2020, (2020), S. 538-542
ErschienenNew York, 2020
VersionSubmitted version
Anmerkung
Refereed/Peer-reviewed
SpracheEnglisch
DokumenttypAufsatz in einem Sammelwerk
Schlagwörter (EN)socio-technical congruence / developer interactions / modularity
ISBN9781450375177
URNurn:nbn:at:at-ubl:3-5029 
Fördergeber
Fonds zur Förderung der Wissenschaftlichen Forschung
Projekt-/Reportnummer: 29415
Zugriffsbeschränkung
 Das Werk ist gemäß den "Hinweisen für BenützerInnen" verfügbar
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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 socio-technical interactions.

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