Playground for multi-level modeling constructs

Abstract In recent years, multi-level modeling has become more and popular. It is mainly due to the fact that aims reduce or even totally eliminate any accidental complexity inadvertently created as by-product in traditional model design. Moreover, besides reducing complexity, also improves on general comprehension of models. The key enablers are concepts clabjects deep instantiation. latter often governed by potency notion, which many different interpretations variations emerged over years. However, there exist some approaches disregard notion. Thus, tend take advantage theoretical practical backgrounds. this paper, we propose a unifying framework, Multi-Level Modeling Playground (MLMP), validating environment for research. MLMP based our multi-layer framework (the Dynamic Multi-Layer Algebra), provides useful mechanisms validate constructs. Since beyond structure well-formedness rules constructs can be specified, proposed delivers several benefits: i) always verified, ii) experimented with independently concrete tool chains, iii) relationships (i.e., correlations exclusions) between easily investigated practice. Also, capability demonstrated via complete examples inspired state-of-the-art research literature.