DocumentCode
2761222
Title
Stakeholders-Driven Requirements Semantics Acquisition for Networked Software Systems
Author
Wen, Bin ; Liang, Peng ; He, Keqing
Author_Institution
State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China
fYear
2010
fDate
19-23 July 2010
Firstpage
255
Lastpage
258
Abstract
Large-scale and complex system exhibits adaptive feature, and evolutionary emergence of collective behaviors is its fundamental phenomena. Considering service oriented requirements engineering (SORE), this paper explores requirements semantics acquisition technique and analyzes its adaptive feature. The strategy of evolutionary growth to gain domain specific requirements semantics model is proposed. Also, this approach combines with folks and experts intelligence to create requirements semantics. The instantiation of semantics is performed based on this model. The semantic model can facilitate consistency check and reasoning for high-quality requirements. By employing the functions provided by semantic wikis, a stakeholders-driven semantics acquisition platform for pre requirements is designed. Apart from traditional documentary specification, on-demand semantics artifacts will be exported to the subsequent services aggregation and semantics-driven service customization.
Keywords
evolutionary computation; knowledge acquisition; search engines; semantic Web; software engineering; systems analysis; SORE; evolutionary growth strategy; gain domain specific requirements semantics model; networked software systems; on-demand semantics artifacts; semantic Wikis; semantics-driven service customization; service oriented requirement engineering; stakeholder-driven requirement semantic acquisition technique; subsequent services aggregation; requirements engineering; requirements semantics; semantic wikis; service requirements;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Software and Applications Conference Workshops (COMPSACW), 2010 IEEE 34th Annual
Conference_Location
Seoul
Print_ISBN
978-1-4244-8089-0
Electronic_ISBN
978-0-7695-4105-1
Type
conf
DOI
10.1109/COMPSACW.2010.76
Filename
5615800
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