Wang, Bei Hu (Tiger), Liu, Xiaodong, Kerridge, Jon and Li, Yang (2004) Scenario based generative component adaptation in .Net framework. In: Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004. IEEE, Las Vegas USA, pp. 73-78. ISBN 9780780388192

PDF Restricted to Registered users only Available under License Creative Commons Attribution Non-commercial. Download (527kB) | Request a copy

Abstract/Description

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. [math mode missing closing $]

Actions (login required)