Research Output

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

  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.

  • Type:

    Article

  • Date:

    01 January 2013

  • Publication Status:

    Published

  • Publisher

    Elsevier

  • DOI:

    10.1016/j.procs.2013.06.120

  • Cross Ref:

    S187705091300728X

  • ISSN:

    1877-0509

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    005 Computer programming, programs & data

Citation

Wang, Z., & Chalmers, K. (2012). 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). doi:10.1016/j.procs.2013.06.120. ISSN 1877-0509

Authors

Keywords

Evolution Feature; Evolution Pattern; Clouds Computing; Service Evolution; Model Driven Product Line Engineering;

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