• 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