Y. Feng
Generative aspect-oriented component adaptation
Feng, Y.; Liu, X.; Liu, Xiaodong; Feng, Yankui; Kerridge, J.
Abstract
As a solution to eliminating component mismatches, a generative aspect- oriented approach to component adaptation is presented. The approach enjoys high level of automation and capability of deep level adaptation, which is achieved in an aspect-oriented component adaptation framework by generating and then applying the adaptation aspects under designed weaving process. The aspect generation mechanism facilitates the creation of adaptation aspects that support specific adaptation requirements.
An expandable repository of reusable adaptation aspects has been developed based on the proposed two-dimensional aspect model. A prototype tool is built to as a leverage of the approach.
Citation
Feng, Y., Liu, X., Liu, X., Feng, Y., & Kerridge, J. (2008). Generative aspect-oriented component adaptation. IET Software, 2(2), 149. https://doi.org/10.1049/iet-sen%3A20070049
Journal Article Type | Article |
---|---|
Publication Date | 2008 |
Deposit Date | Feb 9, 2010 |
Electronic ISSN | 1751-8814 |
Publisher | Institution of Engineering and Technology (IET) |
Peer Reviewed | Peer Reviewed |
Volume | 2 |
Issue | 2 |
Pages | 149 |
DOI | https://doi.org/10.1049/iet-sen%3A20070049 |
Keywords | Computer Graphics and Computer-Aided Design |
Public URL | http://researchrepository.napier.ac.uk/id/eprint/3463 |
Publisher URL | http://dx.doi.org/10.1049/iet-sen:20070049 |
You might also like
Towards Building a Smart Water Management System (SWAMS) in Nigeria
(2024)
Presentation / Conference Contribution
Utilizing the Ensemble Learning and XAI for Performance Improvements in IoT Network Attack Detection
(2024)
Presentation / Conference Contribution
Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques
(2023)
Presentation / Conference Contribution
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search