@InCollection{VogelNHGB10,
  AUTHOR = {Vogel, Thomas and Neumann, Stefan and Hildebrandt, Stephan
  and Giese, Holger and Becker, Basil},
  TITLE = {{Incremental Model Synchronization for Efficient Run-Time
  Monitoring}},
  YEAR = {2010},
  MONTH = {April},
  BOOKTITLE = {Models in Software Engineering, Workshops and Symposia at
  MODELS 2009, Denver, CO, USA, October 4-9, 2009, Reports and Revised
  Selected Papers},
  VOLUME = {6002},
  PAGES = {124-139},
  EDITOR = {Ghosh, Sudipto},
  SERIES = {Lecture Notes in Computer Science (LNCS)},
  PUBLISHER = {Springer-Verlag},
  URL = {http://dx.doi.org/10.1007/978-3-642-12261-3_13},
  ABSTRACT = {The model-driven engineering community has developed
  expressive model transformation techniques based on metamodels,
  which ease the specification of translations between different
  model types. Thus, it is attractive to also apply these techniques
  for autonomic and self- adaptive systems at run-time to enable a
  comprehensive monitoring of their architectures while reducing
  development efforts. This requires special solutions for model
  transformation techniques as they are applied at run-time instead of
  their traditional usage at development time. In this paper we present
  an approach to ease the development of architectural monitoring based
  on incremental model synchronization with triple graph grammars. We
  show that the provided incremental synchronization between a running
  system and models for different self-management capabilities provides
  a significantly better compromise between performance and development
  costs than manually developed solutions.}
}