Papers

Export 1735 results:
Conference Paper
D. Rozas, “Drupal As a Commons-Based Peer Production Community: A Sociological Perspective”, in Proceedings of The International Symposium on Open Collaboration, New York, NY, USA, 2014, pp. 36:1–36:2.
F. M. Harper, Li, X., Chen, Y., and Konstan, J. A., “An Economic Model of User Rating in an Online Recommender System”, in 10th International Conference on User Modeling, Edinburgh, UK, 2005.
G. De Prato, “Economics approaching OSS: reviewing 15 years of debate”, in OSS2005: Open Source Systems , 2005, p. 268.
K. Blincoe, Harrison, F., and Damian, D., “Ecosystems in GitHub and a Method for Ecosystem Identification using Reference Coupling”, in 12th Working Conference on Mining Software Repositories, 2015.PDF icon 2015_MSR_Ecosystems_CameraReady.pdf (1.63 MB)
S. Abiteboul, Dar, I., Pop, R., Vasile, G., and Vodislav, D., “EDOS Distribution System: a P2P architecture for open-source content dissemination”, in OSS2007: Open Source Development, Adoption and Innovation (IFIP 2.13), 2007, vol. 234/2007, pp. 209 - 215.PDF icon EDOS Distribution System (145.62 KB)
S. Abiteboul, Leroy, X., Vrdoljak, B., Di Cosmo, R., Fermigier, S., Laurière, S., Lepied, F., Pop, R., Villard, F., Smets, J. - P., Bryce, C., Dittrich, K. R., Milo, T., Sagi, A., Shtossel, Y., and Panto, E., “EDOS: Environment for the Development and Distribution of Open Source Software”, in OSS2005: Open Source Systems , 2005, pp. 66-70.
F. Déchelle and Mancinelli, F., “EDOS-Tools Tutorial: EDOS Tools for Linux Distributions Dependencies Management and Quality Assurance”, in OSS2007: Open Source Development, Adoption and Innovation (IFIP 2.13), 2007, vol. 234/2007, pp. 363 - 364.PDF icon EDOIS- Tools Tutorials (59.26 KB)
A. Günes Koru, Zhang, D., and Liu, H., “Effect of Coupling on Defect Proneness in Evolutionary Open-Source Software Development”, in OSS2007: Open Source Development, Adoption and Innovation (IFIP 2.13), 2007, vol. 234/2007, pp. 271 - 276.PDF icon Effect of Coupling on Defect (102.33 KB)
S. L. Daniel, Agarwal, R., and Stewart, K. J., “The Effects of Diversity in Global, Distributed Collectives: A Study of Open Source Project Success”, in Information Systems Research, 2012.PDF icon isr_2012.pdf (631.84 KB)
J. J. Amor, Robles, G., and Gonzalez-Barahona, J. M., “Effort Estimation by Characterizing Developer Activity”, in Proceedings of the 2006 International Workshop on Economics Driven Software Engineering Research, New York, NY, USA, 2006, pp. 3–6.
R. Heckman, Crowston, K., Eseryel, U., Howison, J., Allen, E., and Li, Q., “Emergent Decision-Making Practices in Free/Libre Open Source Software (Floss) Development Teams”, in OSS2007: Open Source Development, Adoption and Innovation (IFIP 2.13), 2007, vol. 234/2007, pp. 71 - 84.PDF icon Emergent Decision-Making (232.58 KB)
R. Heckman, Crowston, K., Li, Q., Allen, E., Eseryel, U. Y., and Howison, J., “Emergent Decision-making Practices in Technology-Supported Self-Organizing Distributed Teams”, in Twenty Seventh International Conference on Information Systems, 2006, pp. 1–12.PDF icon decision_making_practices.pdf (336.59 KB)
C. Francalanci and Merlo, F., “Empirical Analysis of the Bug Fixing Process in Open Source Projects”, in OSS2008: Open Source Development, Communities and Quality (IFIP 2.13), 2008, vol. 275/2008, pp. 187 - 196.PDF icon Empirical Analysis of the Bug Fixinf Process (540.25 KB)
G. Robles, Gonzalez-Barahona, J. M., and Herraiz, I., “An empirical approach to Software Archaeology”, in In: Poster Proceedings of the International Conference on Software Maintenance, 2005, pp. 47–50.
G. Robles, “Empirical Software Engineering Research on Free/Libre/Open Source Software”, in Proceedings of the 22nd IEEE International Conference on Software Maintenance, Washington, DC, USA, 2006, pp. 347–350.
Y. Qiu, Zhang, W., Zou, W., Liu, J., and Liu, Q., “An Empirical Study of Developer Quality”, in 2015 International Conference on Software Quality, Reliability and Security - Companion (QRS-C), Vancouver, BC, Canada, 2015, pp. 202 - 209.
Y. Qiu, Zhang, W., Zou, W., Liu, J., and Liu, Q., “An Empirical Study of Developer Quality”, in 2015 International Conference on Software Quality, Reliability and Security - Companion (QRS-C), Vancouver, BC, Canada, 2015, pp. 202 - 209.
D. German and González-Barahona, J., “An Empirical Study of the Reuse of Software Licensed under the GNU General Public License”, in OSS2009: Open Source Ecosystems: Diverse Communities Interacting (IFIP 2.13), 2009, vol. 299/2009, pp. 185 - 198.PDF icon Empirical Study of the Reuse of Software (199.93 KB)
Y. Yu, Benlian, A., and Hess, T., “An Empirical Study of Volunteer Members' Perceived Turnover in Open Source Software Projects”, in 45th Hawai'i International Conference on System Sciences, 2012, pp. 3396-3405.
C. Liu, “Enriching software engineering courses with service-learning projects and the open-source approach”, in Proceedings of the 27th international conference on Software engineering, New York, NY, USA, 2005, pp. 613–614.
S. Mani, Sinha, S., and Sinha, V. S., “Entering the circle of trust”, in Proceeding of the 8th working conference on Mining software repositories - MSR '11, New York, New York, USA, 2011, pp. 133-142.
J. Howison, Wiggins, A., and Crowston, K., “eResearch Workflows for Studying Free and Open Source Software Development”, in OSS2008: Open Source Development, Communities and Quality (IFIP 2.13), 2008, vol. 275, pp. 405–411.
J. Howison, Wiggins, A., and Crowston, K., “eResearch Workflows for Studying Free and Open Source Software Development”, in OSS2008: Open Source Development, Communities and Quality (IFIP 2.13), 2008, vol. 275/2008, pp. 405 - 411.PDF icon eResearch Workflows (639.93 KB)
C. Görg and Weißgerber, P., “Error detection by refactoring reconstruction”, in Proceedings of the 2005 international workshop on Mining software repositories, New York, NY, USA, 2005, pp. 29-33.PDF icon 29ErrorDetection.pdf (6.69 MB)
P. Hofmann and Riehle, D., “Estimating Commit Sizes Efficiently”, in OSS2009: Open Source Ecosystems: Diverse Communities Interacting (IFIP 2.13), 2009, vol. 299/2009, pp. 105 - 115.PDF icon Estimating Commit Sizes Effciently (433.37 KB)

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