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Home > Archive>Volume 29, Issue 1, 2018 >23-41. DOI:10.13328/j.cnki.jos.005323
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Survey of Model-Based Self-Adaptation Methods
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National Natural Science Foundation of China (61620106007, 61690201, 61272163); National Basic Research Program of China (973) (2015CB352201)

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    Abstract:

    Self-Adaptation provides a promising approach to managing the complexity of modern software systems, and in particular, to enabling systems to continuously adapt themselves to uncertainty in the environment. In existing works, model-based self-adapatation is a type of widely used methods that extend the applicability of model-driven engineering techniques to the runtime environment to facilitate self-adaptation. By leveraging software models to manage the abundant information associated with runtime phenomena, model-based self-adaptation methods are able to avoid the complexity introduced by intertwining adaptation and application behaviors and therefore simplify the development of self-adaptive systems. This paper first lays out six research questions from existing studies concerning system models, environment models, relationship among models, and model-based adaptation planning methods. It then answers the research questions by investigating relevant studies. Finally, the paper offers some suggestions for future research.

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赵天琪,赵海燕,张伟,金芝.基于模型的自适应方法综述.软件学报,2018,29(1):23-41

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History
  • Received:February 03,2017
  • Revised:March 23,2017
  • Online: July 20,2017
Links:Institute of Software, CASChina Computer FederationCASNSFC
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