Papers

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N. Matragkas, Williams, J. R., Kolovos, D. S., and Paige, R. F., Analysing the 'Biodiversity' of Open Source Ecosystems: The GitHub Case, in Proceedings of the 11th Working Conference on Mining Software Repositories, New York, NY, USA, 2014, pp. 356–359.
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M. Squire and Funkhouser, C., "A bit of code": How the Stack Overflow Community Creates Quality Postings, 47th International Hawai'i Conference on System Sciences (HICSS-47). IEEE Computer Society, pp. 1425-1434, 2014.PDF icon hicssSMFinalWatermark.pdf (867 KB)
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O. McGrath, Data Mining User Activity in Free and Open Source Software (FOSS)/ Open Learning Management Systems, International Journal of Open Source Software and Processes, vol. 2, no. 1, pp. 65 - 75, 2010.
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G. Antoniol, Rollo, V. F., and Venturi, G., Linear predictive coding and cepstrum coefficients for mining time variant information from software repositories, in Proceedings of the 2005 international workshop on Mining software repositories, New York, NY, USA, 2005, pp. 74-78.PDF icon 74LinearPredictive.pdf (190.25 KB)
C. Bird, Bachman, A., Rahman, F., and Bernstein, A., Linkster: Enabling Efficient Manual Mining, in Demonstration Track, Proceedings of the 17th SIGSOFT Symposium on Foundations of Software Engineering, 2010.PDF icon bird2010lee.pdf (627.48 KB)
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P. Knab, Pinzger, M., and Bernstein, A., Predicting defect densities in source code files with decision tree learners, in Proceedings of the 2006 international workshop on Mining software repositories, New York, NY, USA, 2006, pp. 119–125.PDF icon 119Predicting.pdf (671.54 KB)
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D. Izquierdo-Cortazar, Sekitoleko, N., Gonzalez-Barahona, J. M., and Kurth, L., Using Metrics to Track Code Review Performance, in Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering, New York, NY, USA, 2017, pp. 214–223.