@proceedings {1710,
	title = {Data Mining Behavioral Transitions in Open Source Repositories},
	year = {2015},
	pages = {5280-5289},
	publisher = {IEEE},
	abstract = {Open-source repository data can be automatically mined
using sequence mining methods to provide high-level
feedback on project status. GitHub.com projects are
acquired, sequence-mined, clustered, and regressed to
analyze project characteristics. Such results can be presented
to project managers, as part of a display generated by an
automated monitoring system. Such monitoring systems
provide high-level feedback in real-time. This project is a
preliminary step in a larger research project aimed at
understanding and monitoring FLOSS projects using this
process modeling approach. },
	author = {Robinson, William and Tianjie Deng}
}
