Formalizing and testing the consistency of DSL transformations

Author:

Keshishzadeh Sarmen1,Mooij Arjan J.2

Affiliation:

1. Department of Computer Science, Eindhoven University of Technology, P.O. Box 513, 5600 MB, Eindhoven, The Netherlands

2. Embedded Systems Innovation by TNO, Eindhoven, The Netherlands

Abstract

Abstract A domain specific language (DSL) focuses on the essential concepts in a specific problem domain, and abstracts from low-level implementation details. The development of DSLs usually centers around the meta-model, grammar and code generator, possibly extended with transformations to analysis models. Typically, little attention is given to the formal semantics of the language, whereas this is essential for reasoning about DSL models, and for assessing the correctness of the generated code and analysis models. We argue that the semantics of a DSL should be defined explicitly and independently of any code generator, to avoid all kinds of complexities from low-level implementation details. As the generated analysis models must reflect some of these implementation details, we propose to formalize them separately. To assess the correctness and consistency of the generated code and analysis models in a practical way, we use conformance testing. We extensively illustrate this general approach using specific formalizations for an industrial DSL on collision prevention. We do not aim for a generic semantic model for any DSL, but this specific DSL indicates the potential of a modular semantics to facilitate reuse among DSLs.

Publisher

Association for Computing Machinery (ACM)

Subject

Theoretical Computer Science,Software

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Reducing design time and promoting evolvability using Domain-Specific Languages in an industrial context;Model Management and Analytics for Large Scale Systems;2020

2. Industrial Experiences with a Formal DSL Semantics to Check the Correctness of DSL Artifacts;Electronic Proceedings in Theoretical Computer Science;2016-03-28

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