Title :
A Requirement Analysis Pattern Selection Method for E-Business Project Situation
Author :
Shu-Hang, Guo ; Yu-Qing, Lan ; Mao-Zhong, Jin ; Jing, Gao ; Hong-Juan, Li
Author_Institution :
BeiHang Univ., Beijing
Abstract :
Current situations of the e-business project are variety. One of the most difficult jobs for requirements engineers is to adopt the best appropriate RE analysis patterns for the e-business project at hand. It is possible to characterize typical e-business project situation which could be used as a base for selecting best appropriate patterns. To select best appropriate patterns, in this paper, the method was proposed including the pattern clustering analysis and the filtering recommendation for the project situation. Through the contrast with selection method based experience, the new method is feasible and effective.
Keywords :
electronic commerce; information filtering; pattern clustering; systems analysis; e-business project situation; filtering recommendation; pattern clustering analysis; requirement analysis pattern selection; requirements engineering; Algorithm design and analysis; Clustering algorithms; Collaboration; Collaborative work; Computer science; Filtering theory; Layout; Local area networks; Pattern analysis; Pattern clustering;
Conference_Titel :
e-Business Engineering, 2007. ICEBE 2007. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-0-7695-3003-1
DOI :
10.1109/ICEBE.2007.46
