An extensible tool-chain for analyzing datasets of metamodels

Metamodels play a crucial role in any modeling environment as they formalize the modeling constructs underpinning the definition of conforming artifacts, including models, model transformations, code generators, and editors. Understanding the structural characteristics and the quality of the metamodels that are available in public repositories before their reuse is a critical task that demands the adoption of different tools, which might not be easy to adopt. Even the selection of metamodels to be used for experimenting with new tools is not straightforward as it involves exploring various sources of information and dig in each metamodel to check its appropriateness for the evaluation of the tool under development. In this paper, we present a dataset of metamodels, which has been collected for experimenting with different approaches conceived by the authors. The dataset has been automatically curated using a toolchain, which has been re-designed post-ante the definition of the proposed approaches to foster its future reuse.