• DocumentCode
    1681684
  • Title

    A Process-Driven and Ontology Based Software Product Line Variability Modeling Approach

  • Author

    Cao Bu-Qing ; Li Bing ; Xia Qi-Ming

  • Author_Institution
    State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China
  • fYear
    2009
  • Firstpage
    385
  • Lastpage
    390
  • Abstract
    Service-oriented software engineering emphasizes the discovery and reuse of existing service resources and aggregate them to meet user needs. This paper proposes a service-oriented and process-driven approach to modeling variability in software product line. In this approach, variability analysis and modeling as a means, domain ontology model as a starting point, process ontology model as the center, service ontology model as the purpose, which organize the family core-assets to identify and model variability from perspectives of domain, process and service. Summarily, the whole modeling process of the approach is discussed completely through a real software family on business hotel.
  • Keywords
    Web services; data mining; formal specification; formal verification; hotel industry; ontologies (artificial intelligence); product development; software maintenance; software reusability; systems analysis; Web service; domain ontology model; domain requirements engineering; hotel business; ontology-based software product line variability modeling approach; process ontology model; process-driven approach; service ontology model; service resource discovery; service resource reuse; service-oriented software engineering; software family core-asset; Aggregates; Computer architecture; Computer science; Grid computing; Knowledge acquisition; Laboratories; Metamodeling; Ontologies; Programming; Software engineering; ontology; process-driven; service-oriented; variability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grid and Cooperative Computing, 2009. GCC '09. Eighth International Conference on
  • Conference_Location
    Lanzhou, Gansu
  • Print_ISBN
    978-0-7695-3766-5
  • Type

    conf

  • DOI
    10.1109/GCC.2009.67
  • Filename
    5279545