Evolution Feature Oriented Model Driven Product Line Engineering Approach for Synergistic and Dynamic Service Evolution in Clouds
Wei, Hongchun; Wang, Zhe; Liu, Xiaodong; Chalmers, Kevin; Cheng, Guojian
Prof Xiaodong Liu X.Liu@napier.ac.uk
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.
Wei, H., Wang, Z., Liu, X., Chalmers, K., & Cheng, G. (2013). Evolution Feature Oriented Model Driven Product Line Engineering Approach for Synergistic and Dynamic Service Evolution in Clouds. Journal of Industrial and Intelligent Information, 1(1), 6-9. https://doi.org/10.12720/jiii.1.1.6-9
|Journal Article Type||Article|
|Deposit Date||Mar 27, 2013|
|Publicly Available Date||Dec 31, 2013|
|Peer Reviewed||Peer Reviewed|
|Keywords||Evolution Feature; Evolution Pattern;Clouds Computing; Service Evolution; Model DrivenProduct Line Engineering|
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