Implicit Incremental Model Analyses and Transformations
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).
KeywordsIncrementalization; Model Analysis; Model Transformation; Synchronization Blocks; Inkrementalisierung; Modellanalyse; Modelltransformation; Synchronisierungsblöcke
PublisherKIT Scientific Publishing
Publication date and placeKarlsruhe, 2021
ImprintKIT Scientific Publishing
SeriesThe Karlsruhe Series on Software Design and Quality, 31
Maths for computer scientists