• DocumentCode
    2449538
  • Title

    An Adaptive Software Architecture Model Based on Component-Mismatches Detection and Elimination

  • Author

    Tang, Shan ; Peng, Xin ; Lau, Yiming ; Zhao, Wenyun ; Jiang, Zhixiong

  • Author_Institution
    Comput. Sci. & Eng. Dept., Fudan Univ., Shanghai
  • fYear
    2008
  • fDate
    July 28 2008-Aug. 1 2008
  • Firstpage
    369
  • Lastpage
    372
  • Abstract
    Commercial-off-the-shelf components (COTS) are widely reused at present and black-box composition is the unique way to integrate them into the target system. However, various mismatches among components often hamper the integration of COTS. While the existing approaches to modeling software systems often neglect the issue of COTS component-mismatch detection and elimination. Aiming at solving this problem, this paper proposes an adaptive software architecture model. Based on this model, we first analyze and conclude the mismatches among heterogeneous components, and then we propose the corresponding solutions to eliminate these mismatches and provide a seamless integration for COTS components. At the same time, we employ an example of Web-based application system to illustrate the efficiency of our approach.
  • Keywords
    object-oriented programming; software architecture; software packages; software reusability; adaptive software architecture model; black-box composition; commercial-off-the-shelf component; component-mismatch detection; component-mismatch elimination; software reuse; software system modeling; Application software; Collaborative software; Computer buffers; Connectors; Costs; Law; Legal factors; Protocols; Software architecture; Software systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications, 2008. COMPSAC '08. 32nd Annual IEEE International
  • Conference_Location
    Turku
  • ISSN
    0730-3157
  • Print_ISBN
    978-0-7695-3262-2
  • Electronic_ISBN
    0730-3157
  • Type

    conf

  • DOI
    10.1109/COMPSAC.2008.13
  • Filename
    4591583