Modeling and Analyzing Information Flow in Development Teams as a Pipe System.

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Original languageEnglish
Title of host publicationProceedings of MODELS 2018 Workshops
Pages730-737
Number of pages8
Publication statusPublished - 2018
EventACM/IEEE 21st International Conference on Model Driven Engineering Languages and Systems - Copenhagen, Denmark
Duration: 14 Oct 2018 → …
Conference number: 21

Publication series

NameCEUR Workshop Proceedings
Volume2245
ISSN (Print)1613-0073

Abstract

Teamwork is essential for developing valuable software. Working in a team requires an appropriate information exchange among team members in order to avoid loss of information. In order to analyze and improve information flows, it is recommended to observe the information exchange in a team. We propose an approach for modeling the information flow of teams as a pipe system. Different pipe diameters represent the amount of information passing through the pipe. In order to show the applicability of our approach, we conducted a case study in a globally distributed software engineering company. The study consists of the elicitation of information flows inside the company and the automated analysis by our approach. We are able to visualize the information flows, find critical paths such as bottlenecks, and improve information flow structures. This enables project leaders to customize the communication structure to the needs of their team and to prevent loss of information.

Keywords

    Communication behavior, Developer network, Development teams, Information sharing, Social network analysis

ASJC Scopus subject areas

Cite this

Modeling and Analyzing Information Flow in Development Teams as a Pipe System. / Klünder, Jil; Karras, Oliver; Prenner, Nils et al.
Proceedings of MODELS 2018 Workshops. 2018. p. 730-737 (CEUR Workshop Proceedings; Vol. 2245).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Klünder, J, Karras, O, Prenner, N & Schneider, K 2018, Modeling and Analyzing Information Flow in Development Teams as a Pipe System. in Proceedings of MODELS 2018 Workshops. CEUR Workshop Proceedings, vol. 2245, pp. 730-737, ACM/IEEE 21st International Conference on Model Driven Engineering Languages and Systems, Copenhagen, Denmark, 14 Oct 2018. <http://ceur-ws.org/Vol-2245/hufamo_paper_1.pdf>
Klünder, J., Karras, O., Prenner, N., & Schneider, K. (2018). Modeling and Analyzing Information Flow in Development Teams as a Pipe System. In Proceedings of MODELS 2018 Workshops (pp. 730-737). (CEUR Workshop Proceedings; Vol. 2245). http://ceur-ws.org/Vol-2245/hufamo_paper_1.pdf
Klünder J, Karras O, Prenner N, Schneider K. Modeling and Analyzing Information Flow in Development Teams as a Pipe System. In Proceedings of MODELS 2018 Workshops. 2018. p. 730-737. (CEUR Workshop Proceedings).
Klünder, Jil ; Karras, Oliver ; Prenner, Nils et al. / Modeling and Analyzing Information Flow in Development Teams as a Pipe System. Proceedings of MODELS 2018 Workshops. 2018. pp. 730-737 (CEUR Workshop Proceedings).
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abstract = "Teamwork is essential for developing valuable software. Working in a team requires an appropriate information exchange among team members in order to avoid loss of information. In order to analyze and improve information flows, it is recommended to observe the information exchange in a team. We propose an approach for modeling the information flow of teams as a pipe system. Different pipe diameters represent the amount of information passing through the pipe. In order to show the applicability of our approach, we conducted a case study in a globally distributed software engineering company. The study consists of the elicitation of information flows inside the company and the automated analysis by our approach. We are able to visualize the information flows, find critical paths such as bottlenecks, and improve information flow structures. This enables project leaders to customize the communication structure to the needs of their team and to prevent loss of information.",
keywords = "Communication behavior, Developer network, Development teams, Information sharing, Social network analysis",
author = "Jil Kl{\"u}nder and Oliver Karras and Nils Prenner and Kurt Schneider",
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