A Mixed Graph-Relational Dataset of Socio-technical Interactions in Open Source Systems

Usman Ashraf; Christoph Mayr-Dorn; Alexander Egyed; Sebastiano Panichella

doi:10.1145/3379597.3387492

A Mixed Graph-Relational Dataset of Socio-technical Interactions in Open Source Systems

Usman Ashraf
, Christoph Mayr-Dorn
, Alexander Egyed
, Sebastiano Panichella

Institute of Software Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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.

Original language	English
Title of host publication	MSR '20: 17th International Conference on Mining Software Repositories, Seoul, Republic of Korea, 29-30 June, 2020
Editors	Sunghun Kim and Georgios Gousios and Sarah Nadi and Joseph Hejderup
Publisher	ACM
Pages	538-542
Number of pages	5
ISBN (Electronic)	9781450379571
DOIs	https://doi.org/10.1145/3379597.3387492
Publication status	Published - 29 Jun 2020

Fields of science

102 Computer Sciences
102022 Software development

JKU Focus areas

Digital Transformation

Access to Document

10.1145/3379597.3387492

Cite this

Ashraf, U., Mayr-Dorn, C., Egyed, A., & Panichella, S. (2020). A Mixed Graph-Relational Dataset of Socio-technical Interactions in Open Source Systems. In Sunghun Kim and Georgios Gousios and Sarah Nadi and Joseph Hejderup (Ed.), MSR '20: 17th International Conference on Mining Software Repositories, Seoul, Republic of Korea, 29-30 June, 2020 (pp. 538-542). ACM. https://doi.org/10.1145/3379597.3387492

Ashraf, Usman ; Mayr-Dorn, Christoph ; Egyed, Alexander et al. / A Mixed Graph-Relational Dataset of Socio-technical Interactions in Open Source Systems. MSR '20: 17th International Conference on Mining Software Repositories, Seoul, Republic of Korea, 29-30 June, 2020. editor / Sunghun Kim and Georgios Gousios and Sarah Nadi and Joseph Hejderup. ACM, 2020. pp. 538-542

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title = "A Mixed Graph-Relational Dataset of Socio-technical Interactions in Open Source Systems",

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.",

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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. in Sunghun Kim and Georgios Gousios and Sarah Nadi and Joseph Hejderup (ed.), MSR '20: 17th International Conference on Mining Software Repositories, Seoul, Republic of Korea, 29-30 June, 2020. ACM, pp. 538-542. https://doi.org/10.1145/3379597.3387492

A Mixed Graph-Relational Dataset of Socio-technical Interactions in Open Source Systems. / Ashraf, Usman; Mayr-Dorn, Christoph; Egyed, Alexander et al.
MSR '20: 17th International Conference on Mining Software Repositories, Seoul, Republic of Korea, 29-30 June, 2020. ed. / Sunghun Kim and Georgios Gousios and Sarah Nadi and Joseph Hejderup. ACM, 2020. p. 538-542.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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AB - 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.

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Ashraf U, Mayr-Dorn C, Egyed A, Panichella S. A Mixed Graph-Relational Dataset of Socio-technical Interactions in Open Source Systems. In Sunghun Kim and Georgios Gousios and Sarah Nadi and Joseph Hejderup, editor, MSR '20: 17th International Conference on Mining Software Repositories, Seoul, Republic of Korea, 29-30 June, 2020. ACM. 2020. p. 538-542 doi: 10.1145/3379597.3387492

A Mixed Graph-Relational Dataset of Socio-technical Interactions in Open Source Systems

Abstract

Fields of science

JKU Focus areas

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Coordination-centric Change and Consistency Support (C4S)

Cite this

A Mixed Graph-Relational Dataset of Socio-technical Interactions in Open Source Systems

Abstract

Fields of science

JKU Focus areas

Access to Document

Other files and links

Projects

Coordination-centric Change and Consistency Support (C4S)

Cite this