OSSEAN: Mining Crowd Wisdom in Open Source Communities

被引：8

作者：

Yin, Gang ^{[1
]}

Wang, Tao ^{[1
]}

Wang, Huaimin ^{[1
]}

Fan, Qiang ^{[1
]}

Zhang, Yang ^{[1
]}

Yu, Yue ^{[1
]}

Yang, Cheng ^{[1
]}

机构：

[1] Natl Univ Def Technol, Sch Comp, Natl Lab Parallel & Distributed Comp, Changsha, Hunan, Peoples R China

来源：

9TH IEEE INTERNATIONAL SYMPOSIUM ON SERVICE-ORIENTED SYSTEM ENGINEERING (SOSE 2015) | 2015年

关键词：

Open Source; Crowd Wisdom; Software Production Communities; Software Consumption Communities; OSSEAN;

D O I：

10.1109/SOSE.2015.51

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：367 / 371

页数：5

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