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2019 | OriginalPaper | Chapter

Generation of Inductive Types from Ecore Metamodels

Authors : Jérémy Buisson, Seidali Rehab

Published in: Model-Driven Engineering and Software Development

Publisher: Springer International Publishing

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Abstract

When one wants to design a language and related supporting tools, two distinct technical spaces can be considered. On the one hand, model-driven tools like Xtext or MPS automatically provide a compilation infrastructure and a full-featured integrated development environment. On the other hand, a formal workbench like a proof assistant helps in the design and verification of the language specification. But these two technical spaces can hardly be used in conjunction. In the paper, we propose an automatic transformation that takes an input Ecore metamodel, and generates a set of inductive types in Gallina and Vernacular, the language of the Coq proof assistant. By doing so, it is guaranteed that the same abstract syntax as the one described by the Ecore metamodel is used, e.g., to formally define the language’s semantics or type system or set up a proof-carrying code infrastructure. Improving over previous state of the art, our transformation supports structural elements of Ecore, with no restriction. But our transformation is not injective. A benchmark evaluation shows that our transformation is effective, including in the case of real-world metamodels like UML and OCL. We also validate our transformation in the context of an ad-hoc proof-carrying code infrastructure.

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previous chapter Analysis and Evaluation of Conformance Preserving Graph Transformation Rules

next chapter Towards Automated Defect Analysis Using Execution Traces of Scenario-Based Models

Each metametamodel contains approximately 20 classes, 50 references, 30 attributes, and 30 data types.

Other proof assistants based on dependent types, such as Agda or Lean behave similarly.

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Title: Generation of Inductive Types from Ecore Metamodels
Authors: Jérémy Buisson
Seidali Rehab
Publisher: Springer International Publishing
Book: Model-Driven Engineering and Software Development
Print ISBN: 978-3-030-11029-1

Electronic ISBN: 978-3-030-11030-7

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-11030-7_14

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