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empirical studies

Machine Learning-Based Detection of Open Source License Exceptions

Submitted by msquire on Wed, 2017-05-24 20:54
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.
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Comparison Between SLOCs and Number of Files As Size Metrics for Software Evolution Analysis

Submitted by msquire on Mon, 2014-05-19 13:07
I. Herraiz, Robles, G., and us Gonzalez-Barahon, J. M., “Comparison Between SLOCs and Number of Files As Size Metrics for Software Evolution Analysis”, in Proceedings of the Conference on Software Maintenance and Reengineering, Washington, DC, USA, 2006, pp. 206–213.
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