CoqTL: An Internal DSL for Model Transformation in Coq

In model-driven engineering, model transformation (MT) verification is essential for reliably producing software artifacts. While recent advancements have enabled automatic Hoare-style verification for non-trivial MTs, there are certain verification tasks (e.g. induction) that are intrinsically diff...

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Bibliographic Details
Published inTheory and Practice of Model Transformation Vol. 10888; pp. 142 - 156
Main Authors Tisi, Massimo, Cheng, Zheng
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2018
Springer International Publishing
SeriesLecture Notes in Computer Science
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Summary:In model-driven engineering, model transformation (MT) verification is essential for reliably producing software artifacts. While recent advancements have enabled automatic Hoare-style verification for non-trivial MTs, there are certain verification tasks (e.g. induction) that are intrinsically difficult to automate. Existing tools that aim at simplifying the interactive verification of MTs typically translate the MT specification (e.g. in ATL) and properties to prove (e.g. in OCL) into an interactive theorem prover. However, since the MT specification and proof phases happen in separate languages, the proof developer needs a deep knowledge of the translation logic. Naturally any error in the MT translation could cause unsound verification, i.e. the MT executed in the original environment may have different semantics from the verified MT. We propose an alternative solution by designing and implementing an internal domain specific language, namely CoqTL, for the specification of declarative MTs directly in the Coq interactive theorem prover. Expressions in CoqTL are written in Gallina (the specification language of Coq), increasing the possibilities of reuse of native Coq libraries in the transformation definition and proof. In this paper we introduce CoqTL, we evaluate its practical applicability on a case study, and identify its limitations.
ISBN:9783319933160
3319933167
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-93317-7_7