INSPIRING FUTURES

Scenario based generative component adaptation in .Net framework.

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

[img] PDF
wang.pdf
Restricted to Registered users only
Available under License Creative Commons Attribution Non-commercial.

Download (539kB) | 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 $]

Item Type: Book Section
ISBN: 9780780388192
Additional Information: Paper presented at IRI - 2004, November 8-10, 2004, Las Vegas Hilton, Las Vegas, NV, USA.
Uncontrolled Keywords: component Reuse; Scenario-Based Adaptation; Component Generation; .NET Framework; 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
Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Item ID: 3377
Depositing User: Computing Research
Date Deposited: 05 May 2010 14:08
Last Modified: 23 Mar 2012 11:12
URI: http://researchrepository.napier.ac.uk/id/eprint/3377

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

Edinburgh Napier University is a registered Scottish charity. Registration number SC018373