Requirements and Assessment of Languages and Frameworks for Adaptation Models (bibtex)
by ,
Abstract:
Approaches to self-adaptive software systems use models at runtime to leverage benefits of model-driven engineering (MDE) for providing views on running systems and for engineering feedback loops. Most of these approaches focus on causally connecting runtime models and running systems, and just apply typical MDE techniques, like model transformation, or well-known techniques, like event-condition-action rules, from other fields than MDE to realize a feedback loop. However, elaborating requirements for feedback loop activities for the specific case of runtime models is rather neglected. Therefore, we investigate requirements for Adaptation Models that specify the analysis, decision-making, and planning of adaptation as part of a feedback loop. In particular, we consider requirements for a modeling language of adaptation models and for a framework as the execution environment of adaptation models. Moreover, we discuss patterns for using adaptation models within the feedback loop regarding the structuring of loop activities and the implications on the requirements for adaptation models. Finally, we assess two existing approaches to adaptation models concerning their fitness for the requirements discussed in this paper.
Reference:
Requirements and Assessment of Languages and Frameworks for Adaptation Models (Thomas Vogel, Holger Giese), Chapter in Models in Software Engineering, Workshops and Symposia at MoDELS 2011, Wellington, New Zealand, October 16-21, 2011, Reports and Revised Selected Papers (Jörg Kienzle, ed.), Springer-Verlag, volume 7167, 2012.
Bibtex Entry:
@InCollection{VG12,
  AUTHOR = {Vogel, Thomas and Giese, Holger},
  TITLE = {{Requirements and Assessment of Languages and Frameworks for
  Adaptation
  Models}},
  YEAR = {2012},
  MONTH = {April},
  BOOKTITLE = {Models in Software Engineering, Workshops and Symposia
  at MoDELS 2011, Wellington, New Zealand, October 16-21, 2011, Reports
  and Revised Selected Papers},
  VOLUME = {7167},
  PAGES = {167-182},
  EDITOR = {Kienzle, Jörg},
  SERIES = {Lecture Notes in Computer Science (LNCS)},
  PUBLISHER = {Springer-Verlag},
  URL = {http://dx.doi.org/10.1007/978-3-642-29645-1_18},
  ABSTRACT = {Approaches to self-adaptive software systems use models
  at runtime to leverage benefits of model-driven engineering (MDE)
  for providing views on running systems and for engineering feedback
  loops. Most of these approaches focus on causally connecting
  runtime models and running systems, and just apply typical MDE
  techniques, like model transformation, or well-known techniques, like
  event-condition-action rules, from other fields than MDE to realize
  a feedback loop. However, elaborating requirements for feedback
  loop activities for the specific case of runtime models is rather
  neglected. Therefore, we investigate requirements for Adaptation
  Models that specify the analysis, decision-making, and planning of
  adaptation as part of a feedback loop. In particular, we consider
  requirements for a modeling language of adaptation models and for a
  framework as the execution environment of adaptation models. Moreover,
  we discuss patterns for using adaptation models within the feedback
  loop regarding the structuring of loop activities and the implications
  on the requirements for adaptation models. Finally, we assess two
  existing approaches to adaptation models concerning their fitness for
  the requirements discussed in this paper.}
}
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