DocumentCode :
2364488
Title :
From Early Requirements to Late Requirements Modeling for a Data Warehouse
Author :
Singh, Yogesh ; Gosain, Anjana ; Kumar, Manoj
Author_Institution :
Univ. Sch. of Inf. Technol., Guru Gobind Singh Indraprastha Univ., Delhi, India
fYear :
2009
fDate :
25-27 Aug. 2009
Firstpage :
798
Lastpage :
804
Abstract :
In recent years, a number of requirements engineering (RE) proposals for a data warehouse (DW) systems have been made. In the traditional/operational systems, requirements engineering has been divided into two phases: early & late requirements engineering phase. Most of the data warehouse requirements engineering (DWRE) approaches have not distinguished early requirements engineering phase from late requirements engineering phase. A very few approaches are seen in the literature that explicitly model early & late requirements for a DW. In this paper, we propose an agent-oriented approach having support from early requirements to late requirements modeling for a data warehouse. Here, the early requirements have been modeled through two models: organization model and goal model whereas late requirements are modeled through decision model. The proposed approach is illustrated through an example of the university for which DW is to be built to support decisional goals.
Keywords :
data warehouses; formal specification; formal verification; object-oriented programming; agent-oriented approach; data warehouse; decision model; early requirements modeling; goal model; late requirements modeling; organization model; requirements engineering proposals; Computer architecture; Computer science; Context modeling; Data engineering; Data warehouses; Decision making; Information technology; Programming; Proposals; Systems engineering and theory; agent; data warehouse; early requirements engineering; late requirements engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5209-5
Electronic_ISBN :
978-0-7695-3769-6
Type :
conf
DOI :
10.1109/NCM.2009.226
Filename :
5331655
Link To Document :
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