Evolution Feature Oriented Model Driven Product Line Engineering Approach for Synergistic and Dynamic Service Evolution in Clouds
| Autor: | Xiaodong Liu, Guojian Cheng, Hongchun Wei, Zhe Wang, Kevin Chalmers |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Engineering
Service (systems architecture) Relation (database) Process (engineering) business.industry QA75 Electronic computers. Computer science Aspect-oriented programming Model transformation 621.38 Electronics & Communications engineering Centre for Algorithms Visualisation and Evolving Systems Modularity AI and Technologies Model DrivenProduct Line Engineering Systems engineering Domain engineering Evolution PatternClouds Computing Code generation Service Evolution Software systems business Software engineering 005.4 Systems programming and programs computer Evolution Feature computer.programming_language |
| Zdroj: | Journal of Industrial and Intelligent Information. 1:6-9 |
| ISSN: | 2301-3745 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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