Contains the keyword machine learning
Machine Learning-Based Detection of Open Source License Exceptions. 2017 IEEE/ACM 39th International Conference on Software Engineering. 2017. pp. 118-129. .
Do Developers Discuss Design?. In Proceedings of the 11th Working Conference on Mining Software Repositories [Internet]. New York, NY, USA: ACM; 2014. pp. 340–343. http://doi.acm.org/10.1145/2597073.2597115 brunet.pdf (304.26 KB) .
Summarizing software artifacts: a case study of bug reports. In Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1 [Internet]. New York, NY, USA: ACM; 2010. pp. 505–514. http://doi.acm.org/10.1145/1806799.1806872 .
A Preliminary Analysis of Publicly Available FLOSS Measurements: Towards Discovering Maintainability Trends. In 2nd Workshop on Public Data about Software Development (WoPDaSD 2007). 2007. Samolades2007.pdf (119.75 KB) .
Who should fix this bug?. In Proceedings of the 28th international conference on Software engineering [Internet]. New York, NY, USA: ACM; 2006. pp. 361–370. http://doi.acm.org/10.1145/1134285.1134336 .