Towards Model Transformation with Structural Level-spanning Patterns

Sándor Bácsi, Gergely Mezei

2022

Abstract

In MDE, models are meant to be transformed, thus model transformation is one of the basic pillars of MDE. Besides generating source code, transformation is often used to refactor or optimize the models. While the theory and application of graph transformations are active research fields for many years now, existing approaches focus mainly on classic two-level meta-modeling setups. It is a promising research direction however to use graph pattern-based transformations on multi-level models as well. This position paper proposes a textual model transformation language — the DMLA Transformation Language (DTL) — which enables the definition of level-spanning transformation rules in a level-blind multi-layer environment.

Paper Citation

in Harvard Style

Bácsi S. and Mezei G. (2022). Towards Model Transformation with Structural Level-spanning Patterns. In Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-550-0, pages 352-357. DOI: 10.5220/0010918800003119

in Bibtex Style

@conference{modelsward22,
author={Sándor Bácsi and Gergely Mezei},
title={Towards Model Transformation with Structural Level-spanning Patterns},
booktitle={Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2022},
pages={352-357},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010918800003119},
isbn={978-989-758-550-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - Towards Model Transformation with Structural Level-spanning Patterns
SN - 978-989-758-550-0
AU - Bácsi S.
AU - Mezei G.
PY - 2022
SP - 352
EP - 357
DO - 10.5220/0010918800003119