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Transformations on Petri Nets in Color (TROPIC)

Projekt: Geförderte ForschungFWF - Österreichischer Wissenschaftsfonds

Projektdetails

Beschreibung

The aim of this project is to establish a framework called TROPIC (Transformations on Petri Nets in Color) for developing model transformations which tackles these limitations. First, TROPIC allows to specify model transformations on different abstraction levels, providing both a declarative mapping language based on UML 2 component diagrams which hides implementation details, and derived from that, an executable transformation language using Coloured Petri Nets. Second, TROPIC facilitates reusability by providing an initial library of generic transformation operators which can be bound to arbitrary metamodels and by allowing to extend this library on demand with new, user-defined, transformation operators, optionally composed out of already existing ones. Finally, TROPIC overcomes the impedance mismatch by supporting a dedicated runtime model in terms of Coloured Petri Nets, allowing for a homogeneous representation of all transformation artefacts (i.e., models, metamodels and the transformation logic itself), which fosters understandability and debuggability of model transformations.
StatusAbgeschlossen
Tatsächliches Beginn-/Enddatum01.03.200931.08.2012

Projektbeteiligte

Wissenschaftszweige

  • 102006 Computer Supported Cooperative Work (CSCW)
  • 102027 Web Engineering
  • 101031 Approximationstheorie
  • 102 Informatik
  • 305901 Computerunterstützte Diagnose und Therapie
  • 102033 Data Mining
  • 102032 Computational Intelligence
  • 101029 Mathematische Statistik
  • 102013 Human-Computer Interaction
  • 305905 Medizinische Informatik
  • 101028 Mathematische Modellierung
  • 101027 Dynamische Systeme
  • 101004 Biomathematik
  • 101026 Zeitreihenanalyse
  • 102015 Informationssysteme
  • 101024 Wahrscheinlichkeitstheorie
  • 202017 Embedded Systems
  • 202038 Telekommunikation
  • 202037 Signalverarbeitung
  • 102019 Machine Learning
  • 305907 Medizinische Statistik
  • 103029 Statistische Physik
  • 202036 Sensorik
  • 102018 Künstliche Neuronale Netze
  • 202035 Robotik
  • 106005 Bioinformatik
  • 106007 Biostatistik
  • 101019 Stochastik
  • 101018 Statistik
  • 102021 Pervasive Computing
  • 101017 Spieltheorie
  • 102002 Augmented Reality
  • 102001 Artificial Intelligence
  • 101016 Optimierung
  • 102004 Bioinformatik
  • 101015 Operations Research
  • 102003 Bildverarbeitung
  • 102025 Verteilte Systeme
  • 101014 Numerische Mathematik

JKU-Schwerpunkte

  • Sustainable Development: Responsible Technologies and Management
  • Digital Transformation