DocumentCode :
715530
Title :
OSSEAN: Mining Crowd Wisdom in Open Source Communities
Author :
Gang Yin ; Tao Wang ; Huaimin Wang ; Qiang Fan ; Yang Zhang ; Yue Yu ; Cheng Yang
Author_Institution :
Nat. Lab. of Parallel & Distrib. Comput., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2015
fDate :
March 30 2015-April 3 2015
Firstpage :
367
Lastpage :
371
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 :
public domain software; software engineering; software performance evaluation; OSSEAN; crowd-based software production model; open source software; open source software evaluating, analyzing and networking platform; software consumption communities; software production communities; Communities; Crawlers; Data mining; Ecosystems; Open source software; Production; Open Source; Crowd Wisdom; Software Production Communities; Software Consumption Communities; OSSEAN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service-Oriented System Engineering (SOSE), 2015 IEEE Symposium on
Conference_Location :
San Francisco Bay, CA
Type :
conf
DOI :
10.1109/SOSE.2015.51
Filename :
7133554
Link To Document :
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