Citation
Thomas Huining Feng. "Model Transformation with Hierarchical Discrete-Event Control". Talk or presentation, 6, May, 2009; Dissertation Talk.

Abstract
A flexible and efficient model transformation technique is developed in this work.

A basic transformation is defined with a transformation rule, which describes the relationship between an input model and the result of the transformation. The syntax for transformation rules is close to the modeling language that designers use to build the input models. The semantics is defined based on graph transformation theory.

A transformation workflow consists of basic transformations controlled in a control language. Existing control languages include state machines and variants of dataflow diagrams. Realizing their limitation in expressiveness and efficiency, we create the Ptera (Ptolemy event relationship actor) model of computation based on event graphs. Ptera is shown to be an appropriate control language for transformation workflows. It allows transformation tasks to be composed hierarchically. The event queue and the notion of model time enables scheduling of future tasks. The use of a local variable to represent the model under transformation eliminates the overhead caused by communication with transient data packages.

Electronic downloads

• TFengDissertationTalk.ppt · download/application/vnd.ms-powerpoint · 2787 kbytes
• TFengDissertationTalk.pptx · application/vnd.openxmlformats-officedocument.presentationml.pre · 1352 kbytes
• TFengDissertationTalk.pdf · application/pdf · 1838 kbytes

• HTML

  Thomas Huining Feng. <a
  href="http://chess.eecs.berkeley.edu/pubs/583.html"><i>Model
  Transformation with Hierarchical Discrete-Event
  Control</i></a>, Talk or presentation,  6, May,
  2009; Dissertation Talk.

• Plain text

  Thomas Huining Feng. "Model Transformation with Hierarchical
  Discrete-Event Control". Talk or presentation,  6, May,
  2009; Dissertation Talk.

• BibTeX

  @presentation{Feng09_ModelTransformationWithHierarchicalDiscreteEventControl,
      author = {Thomas Huining Feng},
      title = {Model Transformation with Hierarchical
                Discrete-Event Control},
      day = {6},
      month = {May},
      year = {2009},
      note = {Dissertation Talk},
      abstract = {A flexible and efficient model transformation
                technique is developed in this work. 
   A basic
                transformation is defined with a transformation
                rule, which describes the relationship between an
                input model and the result of the transformation.
                The syntax for transformation rules is close to
                the modeling language that designers use to build
                the input models. The semantics is defined based
                on graph transformation theory. 
   A
                transformation workflow consists of basic
                transformations controlled in a control language.
                Existing control languages include state machines
                and variants of dataflow diagrams. Realizing their
                limitation in expressiveness and efficiency, we
                create the Ptera (Ptolemy event relationship
                actor) model of computation based on event graphs.
                Ptera is shown to be an appropriate control
                language for transformation workflows. It allows
                transformation tasks to be composed
                hierarchically. The event queue and the notion of
                model time enables scheduling of future tasks. The
                use of a local variable to represent the model
                under transformation eliminates the overhead
                caused by communication with transient data
                packages.},
      URL = {http://chess.eecs.berkeley.edu/pubs/583.html}
  }
  

Posted by Thomas Huining Feng on 6 May 2009.
For additional information, see the Publications FAQ or contact webmaster at chess eecs berkeley edu..

Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.