MODELS 2025 (series) /
AwardsMODELS 2025
Awards
MODELS - The 2025 ten year most influential paper award
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Quick fixing ATL model transformations
SoSyM - The 2025 ten year most influential regular paper award
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A survey of approaches for verifying model transformations
SoSyM - The 2025 ten year most influential theme section paper award
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Reuse in model-to-model transformation languages: are we there yet?
Best Foundation Paper
(sponsored by Springer)
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Hand-Written Code Preservation in Model-to-Text Transformation using Intrinsic Redundancy
ACM SIGSOFT Distinguished Paper Awards
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MCeT: Behavioral Model Correctness Evaluation using Large Language Models
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Complex Model Transformations by Reinforcement Learning with Uncertain Human Guidance
Best Practice Track Paper
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Visual Modeling and Simulation of AUTOSAR Application Layer Models Using Modelica
Best Reviewer Awards
- Michalis Famelis, Université de Montréal
- Istvan David, McMaster University
- Bran Selic, Malina Software Corp.
- Istvan Rath, IncQuery Labs, PTC
- Claudio Gomes, Aarhus University
Plenary
Fri 10 OctDisplayed time zone: Eastern Time (US & Canada) change
Fri 10 Oct
Displayed time zone: Eastern Time (US & Canada) change
10:30 - 11:00 | |||
10:30 30mCoffee break | Break Catering | ||
11:00 - 12:30 | Award PapersAwards at DCIH 102 Chair(s): Daniel Varro Linköping University / McGill University In-person | ||
11:00 30mTalk | MODELS 2026 Announcement Awards | ||
11:30 30mAwards | [2025 The ten year most influential theme section paper award] Reuse in model-to-model transformation languages: are we there yet? Awards Angelika Kusel , Johannes Schönböck , Manuel Wimmer JKU Linz, Gerti Kappel Technical University of Vienna, Werner Retschitzegger , Wieland Schwinger Johannes Kepler University Linz Link to publication DOI | ||
12:00 30mAwards | Quick fixing ATL model transformations Awards | ||
Unscheduled Events
| Not scheduled Awards | [2025 The ten year most influential regular paper award] A survey of approaches for verifying model transformations Awards Link to publication DOI |