Shared mental models among open source software developers

Barbara Scozzi, Kevin Crowston, U. Yeliz Eseryel, Qing Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Scopus citations

Abstract

Shared understandings are important for software development as they guide effective individual contributions and coordination of the software development process. However, it is not clear if such understandings can be developed in highly distributed groups that do not regularly meet face-to-face. In this paper, we present the results of a preliminary analysis of shared mental models within a Free/Libre Open Source Software (FLOSS) development team. We analyzed mental models using cognitive mapping and process analysis and compared the models of four developers from the Apache Lucene Java project. Our analysis suggests that there is a high level of sharing among core developers but the sharing is not complete, with some differences related to tenure and role in the project. Finally, we suggest directions for further research on shared mental models in FLOSS teams.

Original languageEnglish (US)
Title of host publicationProceedings of the 41st Annual Hawaii International Conference on System Sciences 2008, HICSS
DOIs
StatePublished - Sep 16 2008
Event41st Annual Hawaii International Conference on System Sciences 2008, HICSS - Big Island, HI, United States
Duration: Jan 7 2008Jan 10 2008

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Other

Other41st Annual Hawaii International Conference on System Sciences 2008, HICSS
CountryUnited States
CityBig Island, HI
Period1/7/081/10/08

ASJC Scopus subject areas

  • Engineering(all)

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    Scozzi, B., Crowston, K., Eseryel, U. Y., & Li, Q. (2008). Shared mental models among open source software developers. In Proceedings of the 41st Annual Hawaii International Conference on System Sciences 2008, HICSS [4439011] (Proceedings of the Annual Hawaii International Conference on System Sciences). https://doi.org/10.1109/HICSS.2008.391