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Implicit Incremental Model Analyses and Transformations

Implicit Incremental Model Analyses and Transformations

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When models of a system change, analyses based on them have to be reevaluated in order for the results to stay meaningful. In many cases, the time to get updated analysis results is critical. This thesis proposes multiple, combinable approaches and a new formalism based on category theory for implicitly incremental model analyses and transformations. The advantages of the implementation are validated using seven case studies, partially drawn from the Transformation Tool Contest (TTC).

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Keywords

  • Computer science
  • Computing & information technology
  • Incrementalization
  • Inkrementalisierung
  • Mathematical theory of computation
  • Maths for computer scientists
  • Model Analysis
  • model transformation
  • Modellanalyse
  • Modelltransformation
  • Synchronisierungsblöcke
  • Synchronization Blocks

Links

DOI: 10.5445/KSP/1000080522

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