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G. Madey, Freeh, V., and Tynan, R., “Understanding oss as a self-organizing process”, in In The 2nd Workshop on Open Source Software Engineering at the 24th International Conference on Software Engineering (ICSE2002, 2002.PDF icon MadeyFreehTynan.pdf (168.15 KB)
P. Meirelles, Santos Jr., C., Miranda, J., Kon, F., Terceiro, A., and Chavez, C., “A Study of the Relationships between Source Code Metrics and Attractiveness in Free Software Projects”, in Proceedings of the 2010 Brazilian Symposium on Software Engineering, Washington, DC, USA, 2010, pp. 11–20.PDF icon sourcecode_attractiveness.pdf (241.29 KB)
R. Méndez-Durón and García, C. E., “Returns from social capital in open source software networks”, Journal of Evolutionary Economics, vol. 19, no. 2, pp. 277 - 295, 2009.PDF icon Mendez-DuronGarcia.pdf (247.72 KB)
A. Mockus, “Amassing and indexing a large sample of version control systems: towards the census of public source code history”, in 6th IEEE Working Conference on Mining Software Repositories, 2009.PDF icon 11amassing.pdf (108.04 KB)
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G. B. Newby, Greenberg, J., and Jones, P., “Open source software development and Lotka's Law: Bibliometric patterns in programming”, Journal of the American Society for Information Science and Technology, vol. 54, pp. 169-178, 2003.
L. Nyman and Mikkonen, T., “To Fork or Not to Fork: Fork Motivations in SourceForge Projects”, Open Source Systems: Grounding Research (OSS 2011). Springer, pp. 259-268, 2011.
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M. Ohira, Ohsugi, N., Ohoka, T., and Matsumoto, K. -ichi, “Accelerating cross-project knowledge collaboration using collaborative filtering and social networks”, in Proceedings of the 2005 international workshop on Mining software repositories, New York, NY, USA, 2005, pp. 111-115.PDF icon 111Accelerating.pdf (332.38 KB)
J. Ossher, Bajracharya, S., Linstead, E., Baldi, P., and Lopes, C., “SourcererDB: An aggregated repository of statically analyzed and cross-linked open source Java projects”, in 2009 6th IEEE International Working Conference on Mining Software Repositories (MSR)2009 6th IEEE International Working Conference on Mining Software Repositories, Vancouver, BC, Canada, 2009, pp. 183 - 186.
J. Ossher, Bajracharya, S., Linstead, E., Baldi, P., and Lopes, C., “SourcererDB: An aggregated repository of statically analyzed and cross-linked open source Java projects”, in 2009 6th IEEE International Working Conference on Mining Software Repositories (MSR), Vancouver, BC, Canada, 2009, pp. 183 - 186.
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E. Petrinja and Succi, G., “Two Evolution Indicators for FOSS Projects”, IFIP Advances in Information and Communication Technology 378 (OSS 2012), vol. 378. IFIP AICT, pp. 216-232, 2012.
J. Piggot and Amrit, C., How Healthy Is My Project? Open Source Project Attributes as Indicators of Success, vol. 404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp. 30 - 44.PDF icon OSSHealth_1.0.pdf (294.98 KB)
L. J. Pratt, MacLean, A. C., Knutson, C. D., and Ringger, E. K., “Cliff Walls: An Analysis of Monolithic Commits Using Latent Dirichlet Allocation”, Open Source Systems: Grounding Research (OSS 2011). Springer, pp. 282-298, 2011.
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N. P. Radtke and Janssen, M. A., “Competition and production of digital public goods”, International Journal of Intelligent Control and Systems, vol. 14, pp. 77-86, 2009.PDF icon ijics2009.pdf (3.53 MB)
G. Robles and Gonzalez-Barahona, J. M., “Geographic location of developers at SourceForge”, in Proceedings of the 2006 international workshop on Mining software repositories, New York, NY, USA, 2006, pp. 144–150.PDF icon 144GeographicLocation.pdf (229.28 KB)
B. Rossi, Russo, B., and Succi, G., “Download Patterns and Releases in Open Source Software Projects: A Perfect Symbiosis?”, in Open Source Software: New Horizons, vol. 319, Pär Ågerfalk, Boldyreff, C., González-Barahona, J., Madey, G., and Noll, J., Eds. Springer Boston, 2010, pp. 252-267.
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C. M. Schweik, English, R., Paienjton, Q., and Haire, S., “Success and Abandonment in Open Source Commons: Selected Findings from an Empirical Study of Sourceforge.net Projects”, in Second International Workshop on Building Sustainable Open Source Communities (OSCOMM 2010), 2010.PDF icon osscomm003.pdf (113.31 KB)
C. Schweik and English, R., “Preliminary steps toward a general theory of internet-based collective-action in digital information commons: Findings from a study of open source software projects”, International Journal of the Commons, vol. 7, 2013.
P. N. Sharma, Hulland, J., and Daniel, S., “Examining Turnover in Open Source Software Projects Using a Logistic Hierarchical Linear Modeling Approach”, IFIP Advances in Information and Communication Technology 378 (OSS 2012), vol. 378. Eighth International Conference on Open Source Systems, 2012.
P. V. Singh, “The small-world effect: The influence of macro-level properties of developer collaboration networks on open-source project success”, ACM Trans. Softw. Eng. Methodol., vol. 20, pp. 6:1–6:27, 2010.
K. Stewart and Gosain, S., “An exploratory study of ideology and trust in open source development groups”, International Conference on Information Systems 2001. 2001.PDF icon stewartGosain2001.pdf (125.63 KB)
K. Stewart and Gosain, S., “The Impact of Ideology on Effectiveness in Open Source Software Development Teams”, MIS Quarterly, vol. 30, pp. 291-314, 2006.PDF icon stewartgosain2.pdf (426.39 KB)
K. J. Stewart, Darcy, D. P., and Daniel, S. L., “Opportunities and Challenges Applying Functional Data Analysis to the Study of Open Source Software Evolution”, Statistical Science, vol. 21, pp. 167-178, 2006.
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Q. C. Taylor, Stevenson, J. E., Delorey, D. P., and Knutson, C. D., “Author Entropy: A Metric for Characterization of Software Authorship Patterns”, in 3rd Workshop on Public Data about Software Development (WoPDaSD 2008), 2008, pp. 42-47.PDF icon entropy2008.pdf (1.12 MB)
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S. Valverde, Theraulaz, G., Gautrais, J., Fourcassie, V., and Sole, R. V., “Self-Organization Patterns in Wasp and Open Source Communities”, IEEE Intelligent Systems, vol. 21, no. 2, pp. 36 - 40, 2006.PDF icon valverde.pdf (470.52 KB)
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B. Wray, Mathieu, R., and Teets, J., “Evaluating the performance of open source software projects using data envelopment analysis”, Information Management & Computer Security, vol. 16, no. 5, pp. 449 - 462, 2008.

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