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dc.contributor.authorAshraf, Usman-
dc.contributor.authorMayr-Dorn, Christoph-
dc.contributor.authorEgyed, Alexander-
dc.contributor.authorPanichella, Sebastiano-
dc.date.accessioned2020-11-25T10:15:00Z-
dc.date.available2020-11-25T10:15:00Z-
dc.date.issued2020-
dc.identifier.isbn9781450375177de_CH
dc.identifier.urihttps://resolver.obvsg.at/urn:nbn:at:at-ubl:3-5029de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/20886-
dc.description.abstractSeveral 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.de_CH
dc.language.isoende_CH
dc.publisherAssociation for Computing Machineryde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.titleA mixed graph-relational dataset of socio-technical interactions in open source systemsde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.1145/3379597.3387492de_CH
zhaw.conference.detailsMSR '20: 17th International Conference on Mining Software Repositories, Seoul, South Korea, June 2020de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end542de_CH
zhaw.pages.start538de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewNot specifiedde_CH
zhaw.title.proceedingsProceedings of the 17th International Conference on Mining Software Repositoriesde_CH
zhaw.webfeedSoftware Systemsde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Ashraf, U., Mayr-Dorn, C., Egyed, A., & Panichella, S. (2020). A mixed graph-relational dataset of socio-technical interactions in open source systems [Conference paper]. Proceedings of the 17th International Conference on Mining Software Repositories, 538–542. https://doi.org/10.1145/3379597.3387492
Ashraf, U. et al. (2020) ‘A mixed graph-relational dataset of socio-technical interactions in open source systems’, in Proceedings of the 17th International Conference on Mining Software Repositories. Association for Computing Machinery, pp. 538–542. Available at: https://doi.org/10.1145/3379597.3387492.
U. Ashraf, C. Mayr-Dorn, A. Egyed, and S. Panichella, “A mixed graph-relational dataset of socio-technical interactions in open source systems,” in Proceedings of the 17th International Conference on Mining Software Repositories, 2020, pp. 538–542. doi: 10.1145/3379597.3387492.
ASHRAF, Usman, Christoph MAYR-DORN, Alexander EGYED und Sebastiano PANICHELLA, 2020. A mixed graph-relational dataset of socio-technical interactions in open source systems. In: Proceedings of the 17th International Conference on Mining Software Repositories [online]. Conference paper. Association for Computing Machinery. 2020. S. 538–542. ISBN 9781450375177. Verfügbar unter: https://resolver.obvsg.at/urn:nbn:at:at-ubl:3-5029
Ashraf, Usman, Christoph Mayr-Dorn, Alexander Egyed, and Sebastiano Panichella. 2020. “A Mixed Graph-Relational Dataset of Socio-Technical Interactions in Open Source Systems.” Conference paper. In Proceedings of the 17th International Conference on Mining Software Repositories, 538–42. Association for Computing Machinery. https://doi.org/10.1145/3379597.3387492.
Ashraf, Usman, et al. “A Mixed Graph-Relational Dataset of Socio-Technical Interactions in Open Source Systems.” Proceedings of the 17th International Conference on Mining Software Repositories, Association for Computing Machinery, 2020, pp. 538–42, https://doi.org/10.1145/3379597.3387492.


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