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:


  • Publisher

    IEEE Computer Society

  • DOI:


  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    004 Data processing & computer science


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, 2004. IRI 2004, 73-78. doi:10.1109/IRI.2004.1431439. ISBN 0-7803-8819-4



Component Reuse; Scenario-BasedAdaptation; Component Generation; .NET Framework;

Monthly Views:

Available Documents