• DocumentCode
    2550811
  • Title

    Combining Domain-Driven Approach with Requirement Assets for Networked Software Requirements Elicitation

  • Author

    Wei Liu ; Ke-Qing He ; Kui Zhang ; Jian Wang

  • Author_Institution
    State Key Lab. of Software Eng., Wuhan Univ., Wuhan
  • fYear
    2008
  • fDate
    4-7 Aug. 2008
  • Firstpage
    354
  • Lastpage
    361
  • Abstract
    Networked software (NS) is a service-oriented software application that is accessed via human-network interaction equipments. Owing to the characteristics(such as uncertainty, incompleteness, and evolution) of NS requirements, the requirements engineering face challenges in requirements elicitation. This paper proposes a requirements elicitation approach for networked software that builds a bridge over the gap between user requirements for understanding and system requirements for designing. A new language, called SORL, is proposed to describe user requirements with functional and non-functional properties for NS. The proposed approach is capable to transform user requirements with SORL into domain-SORL for reusing domain requirement assets with deep semantic supports. The actual application shows that the approach which discussed in this essay can improve the flexibility of requirements elicitation in networked environment and continuously evolve with lower cost.
  • Keywords
    Web services; formal specification; specification languages; SORL language; domain-SORL; human-network interaction; networked software; requirement asset; requirements elicitation; requirements engineering; service-oriented software; system requirement; user requirement; Application software; Computer networks; Costs; Distributed computing; Helium; Humans; Laboratories; Ontologies; Software engineering; User interfaces; Domain requirement assets; Ontology metamodeling; Requirements elicitation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing, 2008 IEEE International Conference on
  • Conference_Location
    Santa Clara, CA
  • Print_ISBN
    978-0-7695-3279-0
  • Electronic_ISBN
    978-0-7695-3279-0
  • Type

    conf

  • DOI
    10.1109/ICSC.2008.14
  • Filename
    4597212