RESEARCH ON COMPONENT COMPOSITION BASED ON FEATURE MODEL

摘要：

Traditional component description methods lack sufficient semantic information. It is difficult for users to find suitable components to match their requirements. And it is also difficult in doing automatic composition and verification of components. Furthermore, the component trustworthiness is an important factor that must be considered during component composition process. Feature-Oriented Domain Analysis (FODA) that uses features and relations between features to describe the problem domain can provide necessary supports to component composition. This paper focuses on component functional semantics and component trustworthiness. A feature meta-model is proposed to provide sufficient semantic information, and trustworthiness is taken into account in the feature meta-model. Based on feature meta-model, it presents the component composition algorithm. Finally, an application of the approach in the credit evaluation domain is presented.

关键词： Component semantics Trustworthiness Component composition Feature meta-model Credit rating

作者: Lirong Xiong Zibin Niu Jing Fan

作者单位: College of Computer Science and Technology, Zhejiang University, HangZhou, China ;College of Compute College of Computer Science and Technology, Zhejiang University of Technology,Hangzhou, China College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China

会议类型: 国际会议

会议名称: 13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)

会议地点: 北京

会议语种:英文

页码: 284-292

在线出版日期: 2011-06-08（万方平台首次上网日期，不代表论文的发表时间）