@conference {1859,
	title = {OSSEAN: Mining Crowd Wisdom in Open Source Communities},
	booktitle = {2015 IEEE Symposium on Service-Oriented System Engineering (SOSE)},
	year = {2015},
	pages = {367 - 371},
	publisher = {IEEE},
	organization = {IEEE},
	address = {San Francisco Bay, CA, USA},
	abstract = {Nowadays open source software represents a successful crowd-based software production model and is becoming an ecosystem combining huge amounts of software producers (such as software developers) and consumers (such as software users and customers). Lots of research work has been conducted on analyzing software artifacts created by producers, but few of them reveal the power of feedback from consumers which we believe is very important for the evaluation and evolution of open source software. This paper introduces OSSEAN, a platform for Open Source Software Evaluating, Analyzing and Networking. OSSEAN divides the open source communities into two groups: software production communities and software consumption communities. The former contain structured software artifacts such as projects, source code and issues, while the latter are full of textual documents with rich semantics of user feedback. We show the power of OSSEAN with some interesting demos by analyzing more than 200 thousands of open source projects and 10 million documents.},
	keywords = {flossmole},
	doi = {10.1109/SOSE.2015.51},
	author = {Yin, Gang and Wang, Tao and Wang, Huaimin and Fan, Qiang and Zhang, Yang and Yu, Yue and Yang, Cheng}
}
