DocumentCode
3373579
Title
An Ontology-Based Approach for Domain Requirements Elicitation and Analysis
Author
Lee, Yuqin ; Zhao, Wenyun
Author_Institution
Dept. of Comput. Sci. & Technol., Fudan Univ., Shanghai
Volume
2
fYear
2006
fDate
20-24 June 2006
Firstpage
364
Lastpage
371
Abstract
Domain requirements are fundamental for software reuse and are the product of domain analysis. This paper presents an ontology based approach to elicit and analyze domain requirements. An ontology definition is given out. Problem domain is decomposed into several sub problem domains by using subjective decomposition method. The top-down refinement method is used to refine each sub problem domain into primitive requirements. Abstract stakeholders are used instead of real ones when decomposing problem domain and domain primitive requirements are represented by ontology. Not only domain commonality, variability and qualities are presented, but also reasoning logic is used to detect and handle incompleteness and inconsistency of domain requirements. In addition, a case of ´spot and futures transaction´ domain is used to illustrate the approach
Keywords
formal specification; knowledge acquisition; ontologies (artificial intelligence); product development; reasoning about programs; software reusability; systems analysis; abstract stakeholders; domain commonality; domain qualities; domain requirement analysis; domain requirement elicitation; domain variability; ontology-based approach; problem domain decomposition; reasoning logic; software reuse; subjective decomposition method; top-down refinement method; Computer science; Logic; Ontologies; Performance evaluation; Phase measurement; Software engineering; Software maintenance; Software performance; Software quality; Software systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
Conference_Location
Hanzhou, Zhejiang
Print_ISBN
0-7695-2581-4
Type
conf
DOI
10.1109/IMSCCS.2006.188
Filename
4673732
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