Improving self-adaptation planning through software architecture-based stochastic modeling

  title={Improving self-adaptation planning through software architecture-based stochastic modeling},
  author={Jo{\~a}o Miguel Franco and Francisco Correia and Raul Barbosa and M{\'a}rio Zenha Rela and Bradley R. Schmerl and David Garlan},
  journal={Journal of Systems and Software},
The ever-growing complexity of software systems makes it increasingly challenging to foresee at design time all interactions between a system and its environment. Most self-adaptive systems trigger adaptations through operators that are statically configured for specific environment and system conditions. However, in the occurrence of uncertain conditions, self-adaptive decisions may not be effective and might lead to a disruption of the desired non-functional attributes. To address this, we… CONTINUE READING


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Rainbow: Cost-effective software architecture-based selfadaptation

  • S.-W. Cheng
  • Ph.D. thesis, Carnegie Mellon University…
  • 2008
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