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T. Noda, Tansho, T., and Coughlan, S., Effect on Business Growth by Utilization and Contribution of Open Source Software in Japanese IT Companies, vol. 404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp. 222 - 231.
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)
S. Daniel, Agarwal, R., and Stewart, K. J., The Effects of Diversity in Global, Distributed Collectives: A Study of Open Source Project Success, Information Systems Research, vol. 24, no. 2, pp. 312 - 333, 2013.
J. Lindman, Effects of Open Source Software on the Business Patterns of Software Industry. 2005.PDF icon lindman.pdf (222.03 KB)
S. Koch and Schneider, G., Effort, co-operation and co-ordination in an open source software project: GNOME, Information Systems Journal, vol. 12, no. 1, pp. 27 - 42, 2002.
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.
A. Capiluppi and Izquierdo-Cortázar, D., Effort estimation of FLOSS projects: a study of the Linux kernel, Empirical Software Engineering, pp. 1-29, 2011.
S. Koch, Effort modeling and programmer participation in open source software projects, Information Economics and Policy (Empirical Issues in Open Source Software), vol. 20, pp. 345 - 355, 2008.PDF icon KochEffortModeling.pdf (124.67 KB)
S. O'Mahony, The Emergence of a new commercial actor: community managed software projects (Please contact the author for the dissertation). 2002.
A. Barham, The Emergence of Quality Assurance Practices in Free/Libre Open Source Software: A Case Study, vol. 404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp. 271 - 276.
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., Howison, J., and Wei, K., Emergent decision-making practices in technology-supported self-organizing distributed teams, the International Conference on Information Systems (ICIS 2006). Milwaukee, WI, 10–13 Dec, 2006.
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)
G. Robles, González-Barahona, J. M., and Michlmayr, M., Emerging Free and Open Source Software PracticesVolunteers in Large Libre Software Projects. IGI Global, 2007, pp. 1 - 24.
J. Moilanen, Emerging Hackerspaces – Peer-Production Generation, IFIP Advances in Information and Communication Technology 378 (OSS 2012), vol. 378. IFIP AICT, pp. 94-111, 2012.
T. Alspaugh and Scacchi, W., Emerging Issues in the Acquisition of Open Source Software within the U.S. Department of Defense, 5th Annual Acquisition Research Symposium, vol. 1. Naval Postgraduate School, Monterey, CA, pp. 230-244, 2008.
W. Scacchi, Emerging Patterns of Intersection and Segmentation when Computerization Movements Interact, in Computerization Movements and Technology Diffusion: From Mainframes to Ubiquitous Computing, K. L. Kraemer and Elliott, M., Eds. Information Today, Inc., 2008, pp. 381-404.
Y. Wang and Guo, D., EMOS/1: An Evolution Metrics Model for Open Source Software, 2007.PDF icon EMOS1.pdf (187.05 KB)
T. Rausch, Hummer, W., Leitner, P., and Schulte, S., An Empirical Analysis of Build Failures in the Continuous Integration Workflows of Java-Based Open-Source Software, 2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR). pp. 345-355, 2017.
A. Bansal, Empirical analysis of search based algorithms to identify change prone classes of open source software, Computer Languages, Systems & Structures, vol. 47, pp. 211 - 231, 2017.
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.
C. F. Kemerer and Slaughter, S., An Empirical Approach to Studying Software Evolution, IEEE Transactions On Software Engineering, vol. 25, 1999.PDF icon EmpiricalApproachSwEvolution_SlaughterKemerer1999.pdf (465.04 KB)
G. Munoz and Seaman, C., An Empirical Investigation into the Adoption of Open Source Software in Hospitals. 2008.
P. V. Singh, Fan, M., and Tan, Y., An Empirical Investigation of Code Contribution, Communication Participation and Release Strategies in Open Source Software Development: A Conditional Hazard Model Approach, 2007.PDF icon singh_fan_tan.pdf (115.42 KB)