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  • 标题:Towards a Flexible and Evolvable Framework for Self-Adaptation
  • 本地全文:下载
  • 作者:Lucas Provenvesi ; Frank Eliassen
  • 期刊名称:Electronic Communications of the EASST
  • 电子版ISSN:1863-2122
  • 出版年度:2011
  • 卷号:43
  • 语种:English
  • 出版社:European Association of Software Science and Technology (EASST)
  • 摘要:The growing complexity, scale and heterogeneity of software systems boosted a great deal of research in the field of self-management and self-adaptation. In general, current solutions are built as fixed frameworks, with rigid methodology, models and tools that are best suited for their target application domain but can not be easily applied in different domains. Furthermore, they lack the flexibility to let the developer make decisions on how the adaptation engine should work and do not consider the engine itself as a system subject to adaptation that can dynamically evolve. In this work-in-progress paper we discuss the requirements of a more flexible and evolvable framework for self-adaptation. We propose a conceptual model for realizing this framework, showing its benefits with an application scenario.
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