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

fYear

2007

fDate

24-26 Oct. 2007

Firstpage

347

Lastpage

350

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;

fLanguage

English

Publisher

ieee

Conference_Titel

e-Business Engineering, 2007. ICEBE 2007. IEEE International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-0-7695-3003-1

Type

conf

DOI

10.1109/ICEBE.2007.46

Filename

4402112