Research Output
Scenario based generative component adaptation in .Net framework.
  Mismatches between pre-quaZi$ed existing components
and the particular reuse context in applicutions have been
a major factor hindering component reusability.
Although component adaptation has octed as a key
solution of eliminating these mismatches, it oflen appears
impossible for adaptation at a deep level with tolerable
code overheads and human work.
In this paper, we address the above problem by
realizing the ScenArio-based Generative component
Adaptation (SAGA) approach in the .NETframework The
developed prototype to01 (SAGA Bench) helps to achieve
deep adaptation with Iirile code overhead through three
key techniques: XML-based component specification,
interrelated adaptation scenarios, and corresponding
component adaptation and generation. 77re whole process
aims to be highb automatic, with necessary user
interaciion only at XML document level.

  • Publication Status:

    Published

  • Publisher

    IEEE

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    005 Computer programming, programs & data

Citation

Wang, B. H. (., Liu, X., Kerridge, J. & Li, Y. (2003). Scenario based generative component adaptation in .Net framework. In Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004, 73-78. ISBN 9780780388192

Authors

Keywords

component Reuse; Scenario-Based Adaptation; Component Generation; .NET Framework; XML.

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