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Achieving seamless component composition through scenario-based deep adaptation and generation.

Liu, Xiaodong, Wang, Bei Hu (Tiger) and Kerridge, Jon (2005) Achieving seamless component composition through scenario-based deep adaptation and generation. Science of Computer Programming, 56 (1-2). pp. 157-170. ISSN 0167 6423

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    Abstract/Description

    Mismatches between pre-qualified existing components and the particular reuse context in applications have been a major factor hindering component reusability and successful composition. Although component adaptation has acted as a key solution of eliminating these mismatches, deep adaptation is often either impossible or incurring heavy overheads in the components. This paper proposes an approach, namely Scenario-based dynamic component Adaptation and Generation (SAGA), to achieve deep adaptation with little code overhead through XML-based component specification, interrelated adaptation scenarios and corresponding component adaptation and generation.

    Item Type: Article
    Print ISSN: 0167 6423
    Electronic ISSN: 1872-7964
    Related URLs:
    Uncontrolled Keywords: Software engineering; Reusable software; Component composition; Component definition language; Component generation; Component reuse; Scenario-based adapation; Document preparation; XML;
    University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
    Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 005 Computer programming, programs & data
    600 Technology > 650 Management & public relations > 651 Office services
    Library of Congress Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
    Q Science > QA Mathematics > QA76 Computer software
    Item ID: 1795
    Depositing User: RAE Import
    Date Deposited: 23 May 2008 09:47
    Last Modified: 25 Apr 2013 11:51
    URI: http://researchrepository.napier.ac.uk/id/eprint/1795

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