Papers

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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)
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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)
Jackson, C., Østerlund, C., Crowston, K., Harandi, M., Allen, S., Bahaadini, S., et al.. (2020). Teaching Citizen Scientists to Categorize Glitches using Machine-Learning-Guided Training. Computers In Human Behavior, 105, 106198. https://doi.org/10.1016/j.chb.2019.106198
PDF icon MLGT-preprint.pdf (2.43 MB)
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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.
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.
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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PDF icon hsd2006poster (69.42 MB)
PDF icon HSD 2007 poster - Small PDF (5.93 MB)PDF icon SD 2007 poster - Full Adobe PDF (41.76 MB)
Crowston, K., Howison, J., & Annabi, H.. (2006). Information systems success in Free and Open Source Software development: Theory and measures. Software Process–Improvement And Practice, 11, 123–148. https://doi.org/10.1002/spip.259
PDF icon InformationSystemsSuccessInFree.pdf (1.1 MB)
PDF icon ecis2001 (24.65 KB)
PDF icon ecis2001 (24.65 KB)
PDF icon ICIS Panel Open Access Publishing.pdf (444.05 KB)
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Zevin, M., Jackson, C. B., Doctor, Z., Wu, Y., Østerlund, C., L. Johnson, C., et al.. (2024). Gravity Spy: Lessons Learned and a Path Forward. European Physical Journal Plus, 139, Article 100. https://doi.org/10.1140/epjp/s13360-023-04795-4
Zevin, M., Coughlin, S., Bahaadini, S., Besler, E., Rohani, N., Allen, S., et al.. (2017). Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science. Classical And Quantum Gravity, 34, 064003. https://doi.org/10.1088/1361-6382/aa5cea
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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)
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PDF icon Emergent Decision Making Practices In Technology Supported Self O.pdf (360.42 KB)
Heckman, R., Crowston, K., Eseryel, Y., Howison, J., Allen, E. E., & Li, Q.. (2007). Emergent decision-making practices in Free/Libre Open Source Software FLOSS development teams. In Proceedings of the IFIP 3rd International Conference on Open Source Software.
PDF icon 20070320 OSS Conference_v15_final submitted.pdf (178.87 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., 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)

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