MODELS 2023
Sun 1 - Fri 6 October 2023 Västerås, Sweden

The increasing popularity of model-based and lowcode platforms has raised the need to understand large models – especially in industrial settings. However, current approaches mainly rely on graph-based visual metaphors, which do not scale well with large model sizes. To address this issue, we introduce model sensemaking strategies: purposeful model visualisations based on alternative visual metaphors. We define them as reusable patterns that yield tailored visualisations when applied to meta-models. This paper presents a catalogue of domain-specific and domain-agnostic sensemaking strategies, and a recommender that suggests suitable strategies for a given meta-model. To showcase the framework’s applicability, we have implemented some of these strategies in Dandelion, an industrial, low-code graphical language workbench for the cloud. Using this platform, we have evaluated the effectiveness of the strategies to visualise large industrial models by the UGROUND company

Wed 4 Oct

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

15:30 - 17:00
Session B3: Understanding Models and Model ChangesTechnical Track / Journal-first at 301
15:30
22m
Talk
Model Sensemaking Strategies: Exploiting Meta-Model Patterns to Understand Large Models
Technical Track
Francisco Martínez-Lasaca Universidad Autónoma de Madrid, Pablo Díez , Esther Guerra Universidad Autónoma de Madrid, Juan de Lara Autonomous University of Madrid
Pre-print
15:52
22m
Talk
EvoSL: A Large Open-Source Corpus of Changes in Simulink Models & Projects
Technical Track
Sohil Lal Shrestha The University of Texas at Arlington, Alexander Boll , Shafiul Azam Chowdhury University of Texas at Arlington, Timo Kehrer University of Bern, Christoph Csallner University of Texas at Arlington
Pre-print Media Attached
16:15
22m
Talk
gLTSdiff: A Generalized Framework for Structural Comparison of Software Behavior
Technical Track
16:37
22m
Talk
Gamifying model-based engineering: the PapyGame experienceJ1ST
Journal-first
Antonio Bucchiarone Fondazione Bruno Kessler, Trento, Italy, Maxime Savary-Leblanc ANSYS, Xavier Le Pallec , Antonio Cicchetti Mälardalen University, Sébastien Gérard , Simone Bassanelli , Federica Gini , Annapaola Marconi Fondazione Bruno Kessler, Trento, Italy