Papers

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A
Allen, A., Aragon, C., Becker, C., Carver, J., Chiş, A., Combemale, B., et al.. (2016). Manifesto on Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). In Dagstuhl Manifestos. Wadern, Germany: Schloss Dagstuhl – Leibniz Center for Informatics.
Annabi, H., Crowston, K., & Heckman, R.. (2006). From Individual Contribution to Group learning: the Early Years of Apache Web Server. In Proceedings of the IFIP 2nd International Conference on Open Source Software (pp. 77–90). Lake Como, Italy, 8–9 June.
PDF icon From Individual Contribution To Group.pdf (341.85 KB)
Annabi, H., & Crowston, K.. (2003). Collective Learning in Distributed Groups (Research in progress). Syracuse University School of Information Studies.
C
Conklin, M. S., Howison, J., & Crowston, K.. (2005). Collaboration Using OSSmole: A repository of FLOSS data and analyses. In Symposium on Mining Software Repositories. Presented at the Symposium on Mining Software Repositories, St. Louis.
PDF icon CollaborationUsingOSSmole.pdf (60.77 KB)
Crowston, K., & Scozzi, B.. (2004). Coordination practices for bug fixing within FLOSS development teams. In 1st International Workshop on Computer Supported Activity Coordination, 6th International Conference on Enterprise Information Systems. Presented at the 1st International Workshop on Computer Supported Activity Coordination, 6th International Conference on Enterprise Information Systems, Porto, Portugal.
PDF icon scozzi04coordination.pdf (326.87 KB)
Crowston, K., Annabi, H., Howison, J., & Masango, C.. (2005). Effective work practices for FLOSS development: A model and propositions. In Proceedings of the 38th Hawai'i International Conference on System Sciences (HICSS). https://doi.org/10.1109/HICSS.2005.222
PDF icon Paper.pdf (141 KB)PDF icon Presentation.pdf (426.61 KB)
Crowston, K., Annabi, H., Howison, J., & Masango, C.. (2004). Towards a portfolio of FLOSS project success measures. In Workshop on Open Source Software Engineering, 26th International Conference on Software Engineering. Presented at the Workshop on Open Source Software Engineering, 26th International Conference on Software Engineering, Edinburgh.
PDF icon Towards_a_Portfolio_ of _FLOSS_Project.pdf (306.18 KB)
Crowston, K. (2011). Lessons from volunteering and free/libre open source software development for the future of work. In IFIP Working Group 8.2 Working Conference: Researching The Future.
PDF icon ifipwg82paper_final.pdf (942.85 KB)
Crowston, K., & Fagnot, I.. (2018). Stages of motivation for contributing user-generated content: A theory and empirical test. International Journal Of Human-Computer Studies, 109, 89-101. https://doi.org/10.1016/j.ijhcs.2017.08.005
PDF icon crowston fagnot to distribute.pdf (3.76 MB)
Crowston, K., Wei, K., Li, Q., Eseryel, Y., & Howison, J.. (2007). Self-organization of teams in free/libre open source software development. Information And Software Technology Journal: Special Issue On Understanding The Social Side Of Software Engineering, Qualitative Software Engineering Research, 49(6), 564–575. https://doi.org/10.1016/j.infsof.2007.02.004
PDF icon 060918.pdf (282.58 KB)
Crowston, K., Howison, J., Masango, C., & Eseryel, Y.. (2005). Face-to-face interactions in self-organizing distributed teams. In Academy of Management Conference. Presented at the Academy of Management Conference, Honolulu, HI.
PDF icon FaceToFace Interactions.pdf (4.6 MB)
Crowston, K., Jullien, N., & Ortega, F.. (2013). Is Wikipedia Inefficient? Modelling Effort and Participation in Wikipedia. In Forty-sixth Hawai'i International Conference on System Sciences (HICSS-46). Retrieved de http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1960696
PDF icon hicss2013_CrowstonJullienOrtegawork_revised.pdf (233.21 KB)
Crowston, K., & Scozzi, B.. (2006). The role of mental models in FLOSS development work practices. In Proceedings of the IFIP 2nd International Conference on Open Source Software (pp. 91-97). Lake Como, Italy, 8–9 June.
PDF icon oss2006crowstonscozzi.pdf (160.74 KB)
Crowston, K. (2005). Future research on FLOSS development. First Monday, 10(Special Issue #2: Open Source — 3 October 2005). Retrieved de http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/1465/1380
Crowston, K. (2012). Amazon Mechanical Turk: A research tool for organizations and information systems scholars (A. Bhattacherjee & Fitzgerald, B., Eds.). In IFIP Working Group 8.2 Conference: Shaping the Future of ICT Research: Methods and Approaches (pp. 210-221). https://doi.org/10.1007/978-3-642-35141-9
PDF icon 3890210.pdf (1.64 MB)
Crowston, K., Howison, J., & Wiggins, A.. (2008). eSocialScience for Free/Libre Open Source Software researchers. In Proceedings of the 4th International Conference on e-Social Science.
PDF icon NCeSS2008CrowstonHowisonWiggins.pdf (207.99 KB)
Crowston, K., Annabi, H., Howison, J., & Masango, C.. (2004). Effective work practices for software engineering (N. Mehandjiev, Brereton, P., Bennett, K., Budgen, D., & Layzell, P., Trans.). In Proceedings of the 2004 ACM workshop on Interdisciplinary software engineering research (WISER '04) (18). https://doi.org/10.1145/1029997.1030003
PDF icon p18-crowston.pdf (381.25 KB)
Crowston, K., Østerlund, C., Howison, J., & Bolici, F.. (2011). Work as coordination and coordination as work: A process perspective on FLOSS development projects. In Third International Symposium on Process Organization Studies. Presented at the Third International Symposium on Process Organization Studies, Corfu, Greece. Retrieved de http://www.process-symposium.com/
PDF icon PROS-134.pdf (521.15 KB)
Crowston, K., Allen, E. E., & Heckman, R.. (2012). Using natural language processing for qualitative data analysis. International Journal Of Social Research Methodology, 15(6). https://doi.org/10.1080/13645579.2011.625764
PDF icon NLP_for_qualitative_analysis.pdf (315.93 KB)
Crowston, K., & Howison, J.. (2006). Assessing the health of open source communities. Ieee Computer, 39(5), 89-91. https://doi.org/10.1109/MC.2006.152
PDF icon Paper.pdf (397.76 KB)
Crowston, K., Liu, X., Allen, E. E., & Heckman, R.. (2010). Machine Learning and Rule-Based Automated Coding of Qualitative Data. In American Society for Information Science and Technology (ASIST) Annual Conference.
PDF icon ml_nlp.pdf (249.71 KB)PDF icon ASIST poster 2p final.pdf (184.79 KB)

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