Publication type: Conference paper
Type of review: Not specified
Title: A mixed graph-relational dataset of socio-technical interactions in open source systems
Authors: Ashraf, Usman
Mayr-Dorn, Christoph
Egyed, Alexander
Panichella, Sebastiano
et. al: No
DOI: 10.1145/3379597.3387492
Proceedings: Proceedings of the 17th International Conference on Mining Software Repositories
Pages: 538
Pages to: 542
Conference details: MSR '20: 17th International Conference on Mining Software Repositories, Seoul, South Korea, June 2020
Issue Date: 2020
Publisher / Ed. Institution: Association for Computing Machinery
ISBN: 9781450375177
Language: English
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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