Papers

Export 150 results:
Filters: First Letter Of Title is E  [Clear All Filters]
2015
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)
D. M. Le, Behnamghader, P., Link, J. G. ‡ D., Shahbazian, A., and Medvidovic, N., An Empirical Study of Architectural Change in Open-Source Software Systems, 12th Working Conference on Mining Software Repositories (MSR 2015). IEEE, 2015.PDF icon emparch_msr15.pdf (269.21 KB)
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.
I. S. Wiese, Kuroda, R. T., Re, R., Oliva, G. A., and Gerosa, M. A., An Empirical Study of the Relation Between Strong Change Coupling and Defects Using History and Social Metrics in the Apache Aries Project, in Open Source Systems: Adoption and Impact, vol. 451, E. Damiani, Frati, F., Riehle, D., and Wasserman, A. I., Eds. Springer International Publishing, 2015, pp. 3-12.
K. Y. Sharif, English, M., Ali, N., Exton, C., Collins, J. J., and Buckley, J., An empirically-based characterization and quantification of information seeking through mailing lists during open source developers’ software evolution, Information and Software Technology, vol. 57, pp. 77–94, 2015.
J. L. C. Izquierdo and Cabot, J., Enabling the Definition and Enforcement of Governance Rules in Open Source Systems, 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering, vol. 2. ACM/IEEE, pp. 505-514, 2015.PDF icon icse2015-governance-validated.pdf (805.11 KB)
H. J. Macho, Robles, G., and González-Barahona, J. M., Evaluation of FLOSS by Analyzing Its Software Evolution:, Journal of Information Technology Research, vol. 8, no. 1, pp. 62 - 81, 2015.PDF icon Evaluation of FLOSS by Analyzing its Software Evolution - An Example Using the Moodle Platform.pdf (421.19 KB)
M. Rajanen and Iivari, N., Examining Usability Work and Culture in OSS, in Open Source Systems: Adoption and Impact, vol. 451, E. Damiani, Frati, F., Riehle, D., and Wasserman, A. I., Eds. Springer International Publishing, 2015, pp. 58-67.
2014
G. Robles, González-Barahona, J. M., Cervigón, C., and Capiluppi, A., Estimating Development Effort in Free/Open Source Software Projects by Mining Software Repositories: A Case Study of OpenStack, 14th International Conference on Mining Software Repositories. 2014.PDF icon msr14-robles-estimating-effort.pdf (375.94 KB)
G. Robles, González-Barahona, J. M., Cervigón, C., Capiluppi, A., and Izquierdo-Cortázar, D., Estimating Development Effort in Free/Open Source Software Projects by Mining Software Repositories: A Case Study of OpenStack, in Proceedings of the 11th Working Conference on Mining Software Repositories, New York, NY, USA, 2014, pp. 222–231.PDF icon robles.pdf (375.94 KB)
S. Ouhbi, Idri, A., Aleman, J. L. F., and Toval, A., Evaluating Software Product Quality: A Systematic Mapping Study, in 2014 Joint Conference of the International Workshop on Software Measurement IWSM-MENSURA, Rotterdam, Netherlands, 2014, pp. 141 - 151.PDF icon v19n3a11.pdf (397.14 KB)
I. Ahmed, Ghorashi, S., and Jensen, C., An Exploration of Code Quality in FOSS Projects, in Open Source Software: Mobile Open Source Technologies, vol. 427, L. Corral, Sillitti, A., Succi, G., Vlasenko, J., and Wasserman, A. I., Eds. Springer Berlin Heidelberg, 2014, pp. 181-190.
Y. Wu, Kropczynski, J., Shih, P. C., and Carroll, J. M., Exploring the Ecosystem of Software Developers on GitHub and Other Platforms, in Proceedings of the Companion Publication of the 17th ACM Conference on Computer Supported Cooperative Work &\#38; Social Computing, New York, NY, USA, 2014, pp. 265–268.

Pages