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Auflistung nach Autor:in "Zschaler, Steffen"

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  • Konferenzbeitrag
    Henshin: A Model Transformation Language and its Use for Search-Based Model Optimisation in MDEOptimiser
    (Modellierung 2018, 2018) Strüber, Daniel; Burdusel, Alexandru; John, Stefan; Zschaler, Steffen
    This tutorial presents Henshin, a versatile model transformation language increasingly used in academic and industrial applications. Henshin is based on the paradigm of graph transformation and provides a comprehensive tool set that supports largely declarative transformation specifications as well as various formal analyses. We present the application of Henshin in a search-based model optimisation scenario, where the goal is to find an optimal model regarding a given fitness function. Using Henshin, we specify evolutionary operators for MDEOptimiser, a novel search-based model optimisation tool.
  • Konferenzbeitrag
    Searching for Optimal Models: Comparing Two Encoding Approaches (Summary)
    (Software Engineering 2020, 2020) John, Stefan; Burdusel, Alexandru; Bill, Robert; Strüber, Daniel; Taentzer, Gabriele; Zschaler, Steffen; Wimmer, Manuel
    This work summarizes our paper originally published in The Journal of Object Technology in the course of the International Conference on Model Transformations 2019.
  • Konferenzbeitrag
    Supporting Emergency Department Risk Mitigation with a Modular and Reusable Agent-Based Simulation Infrastructure
    (Modellierung 2024, 2024) Godfrey, Thomas; Batra, Rahul; Douthwaite, Sam; Edgeworth, Jonathan; Edwards, Matthew; Miles, Simon; Zschaler, Steffen
    This summary is based on an article originally published at the Winter Simulation Conference 2023. Simulation of workflow processes in healthcare -- especially in emergency care -- has been well established. However, every new simulation project starts from scratch and there is no reuse between simulations, greatly reducing the efficiency of simulation development and the reliability of the simulations produced. We have applied model-driven engineering techniques to create a modular and reusable simulation infrastructure based on a set of domain-specific modelling languages for emergency care.