Tabular representations in relational documents
Relational methods in computer science
Domain-Driven Design: Tacking Complexity In the Heart of Software
Domain-Driven Design: Tacking Complexity In the Heart of Software
When and how to develop domain-specific languages
ACM Computing Surveys (CSUR)
Verification and validation in the context of domain-specific modelling
Proceedings of the 10th Workshop on Domain-Specific Modeling
mbeddr: an extensible C-based programming language and IDE for embedded systems
Proceedings of the 3rd annual conference on Systems, programming, and applications: software for humanity
Automated Analysis and Code Generation for Domain-Specific Models
WICSA-ECSA '12 Proceedings of the 2012 Joint Working IEEE/IFIP Conference on Software Architecture and European Conference on Software Architecture
Language composition untangled
Proceedings of the Twelfth Workshop on Language Descriptions, Tools, and Applications
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Domain specific languages allow users to directly express domain concepts in their programs and thereby eliminate the accidental complexity resulting from implementation details irrelevant to the domain. Cleaner programs, written in DSLs are much easier to analyze formally. However, domain specific analyses need to be implemented over and over again for each new domain specific language. In this paper we show that the use of language engineering techniques for modularizing languages can drastically improve on this situation. Language fragments (aka. language modules) together with a set of analyses defined for them can be reused between different DSLs, making the implementation of analyses significantly easier. This paper presents our approach for using the Meta-Programming System to implement domain specific languages and analyses both as extensions of C and in the domain of intelligent buildings. The main lesson learned is that modularization at language and analysis level allows rapid instantiation of advanced DSLs and their corresponding analyses.