Papers

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Filters: Author is Di Penta, Massimiliano  [Clear All Filters]
2007
G. Canfora, Cerulo, L., and Di Penta, M., “Identifying Changed Source Code Lines from Version Repositories”, in Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007), Minneapolis, MN, USA, 2007, pp. 14 - 14.PDF icon 28300014.pdf (428.38 KB)
2009
D. M. German, Di Penta, M., Gueheneuc, Y. - G., and Antoniol, G., “Code siblings: Technical and legal implications of copying code between applications”, 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. 81 - 90.PDF icon 81CodeSiblings.pdf (190.99 KB)
2010
M. Di Penta, German, D. M., and Antoniol, G., “Identifying licensing of jar archives using a code-search approach”, in 2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010)2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010), Cape Town, South Africa, 2010, pp. 151 - 160.PDF icon 151msr2010.pdf (152.01 KB)
2011
L. Cerulo, Cimitile, M., Di Penta, M., and Canfora, G., “Social interactions around cross-system bug fixings”, in Proceedings of the 8th working conference on Mining software repositories - MSR '11, New York, New York, USA, 2011, pp. 143-152.
Q. Zagarese, Distante, D., Di Penta, M., Bernardi, M. L., and Sementa, C., “What topics do Firefox and Chrome contributors discuss?”, in Proceedings of the 8th working conference on Mining software repositories - MSR '11, New York, New York, USA, 2011, pp. 234-237.
2016
C. Vendome, Bavota, G., Di Penta, M., Linares-Vásquez, M., German, D., and Poshyvanyk, D., “License usage and changes: a large-scale study on gitHub”, Empirical Software Engineering, 2016.
2017
F. Zampetti, Scalabrino, S., Oliveto, R., Canfora, G., and Di Penta, M., “How Open Source Projects use Static Code Analysis Tools in Continuous Integration Pipelines”, 2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR). pp. 334-344, 2017.
C. Vendome, Linares-Vasquez, M., Bavota, G., Di Penta, M., German, D. M., and Poshyvanyk, D., “Machine Learning-Based Detection of Open Source License Exceptions”, 2017 IEEE/ACM 39th International Conference on Software Engineering. pp. 118-129, 2017.