Mining and Recommending Software Features across Multiple Web Repositories

摘要：

　　TheInternetware paradigm is fundamentally changing the traditional way of software development.More and more software projects are developed,maintained and shared on the Internet.However,a large quantity of heterogeneous software resources have not been organized in a reasonable and ecient way.Software feature is an ideal material to characterize software resources.The eectiveness of feature- related tasks will be greatly improved,if a multi-grained feature repository is available.In this paper,we propose a novel approach for organizing,analyzing and recommend- ing software features.Firstly,we construct a Hierarchical rEpository of Software feAture (HESA).Then,we mine the hidden anities among the features and recommend relevant and high-quality features to stakeholders based on HESA.Finally,we conduct a user study to evaluate our approach quantitatively.The results show that HESA can organize software features in a more reasonable way compared to the traditional and the state-of-the-art approaches.The result of feature recommendation is eective and interesting.

关键词： Mining Software Repository Domain Analysis Feature Ontology Recommender System

作者: Yue Yu Huaimin Wang Gang Yin Bo Liu

作者单位: National Laboratory for Parallel and Distributed Processing School of Computer Science,National University of Defense Technology,Changsha,410073,China

会议类型: 国际会议

会议名称: 第五届亚太网构软件研讨会

会议地点: 长沙

会议语种:英文

页码: 64-72

在线出版日期: 2013-10-23（万方平台首次上网日期，不代表论文的发表时间）