Evolution Feature Oriented Model Driven Product Line Engineering Approach for Synergistic and Dynamic Service Evolution in Clouds:Four Kinds of Schema

Wang, Zhe; Chalmers, Kevin

Abstract

The proposed research will focus on developing a novel approach to solve Software Service Evolution problems in Computing Clouds. The approach will support dynamic evolution of the software service in clouds via a set of discovered evolution patterns. An initial survey informed us that such an approach does not exist yet and is in urgent need. Evolution Requirement can be classified into evolution features; researchers can describe the whole requirement by using evolution feature typology, the typology will define the relation and dependency between each features. After the evolution feature typology has been constructed, evolution model will be created to make the evolution more specific. Aspect oriented approach can be used for enhance evolution feature-model modularity. Aspect template code generation technique will be used for model transformation in the end. Product Line Engineering contains all the essential components for driving the whole evolution process.

Citation

Wang, Z., & Chalmers, K. (2013). Evolution Feature Oriented Model Driven Product Line Engineering Approach for Synergistic and Dynamic Service Evolution in Clouds:Four Kinds of Schema. Procedia Computer Science, 19, 889-894. https://doi.org/10.1016/j.procs.2013.06.120

• Journal Article Type: Article
• Acceptance Date: Sep 9, 1999
• Online Publication Date: Jun 1, 2013
• Publication Date: 2013
• Deposit Date: Sep 25, 2013
• Publicly Available Date: Sep 25, 2013
• Journal: Procedia computer science
• Print ISSN: 1877-0509
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 19
• Pages: 889-894
• Book Title: Acadia University,Canada,The 4th International Conference on Ambient Systems, Networks and Technologies, June 25-28, 2013
• DOI: https://doi.org/10.1016/j.procs.2013.06.120
• Keywords: Evolution Feature; Evolution Pattern; Clouds Computing; Service Evolution; Model Driven Product Line Engineering
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/6372
• Publisher URL: http://dx.doi.org/10.1016/j.procs.2013.06.120
• Contract Date: Sep 25, 2013