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Domain-specific languages

36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the, 2003
A programming language is a notation for expressing computations (algorithms) in both machine and human readable form. Appropriate programming languages and tools may drastically reduce the cost of building new applications as well as maintaining existing ones.
J. Heering, M. Mernik, A.M. Sloane
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A Survey on LLM-based Code Generation for Low-Resource and Domain-Specific Programming Languages

ACM Transactions on Software Engineering and Methodology
Large Language Models (LLMs) have shown remarkable capabilities in code generation for popular programming languages. However, their performance in Low-Resource Programming Languages (LRPLs) and Domain-Specific Languages (DSLs) remains a critical ...
Sathvik Joel, J. Wu, Fatemeh H. Fard
semanticscholar   +1 more source

Effort Used to Create Domain-Specific Modeling Languages

ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2018
Domain-specific modeling languages and generators have been shown to significantly improve the productivity and quality of system and software development.
Juha-Pekka Tolvanen, S. Kelly
semanticscholar   +1 more source

A Generic Static Analysis Framework for Domain-specific Languages

IEEE International Conference on Emerging Technologies and Factory Automation, 2018
Software used to monitor and control operations within an automation system is defined using domain-specific languages. Latent errors in the control code, if left undetected, can lead to unexpected system failures compromising the safety and the security
Avijit Mandal   +4 more
semanticscholar   +1 more source

Domain-specific engineering of domain-specific languages

Proceedings of the 10th Workshop on Domain-Specific Modeling, 2010
Domain-specific modelling (DSM) enables experts of arbitrary domains to perform modelling tasks using familiar constructs. This contrasts with common code-centric development approaches where programmers deal with object-oriented approximations of higher level concepts.
Raphael Mannadiar, Hans Vangheluwe
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Semantic Domain-specific Languages

2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON), 2019
A rationale for the introduction of semantic domain-specific languages (sDSL) is discussed from the point of view of problems faced by IT industry. Goals and technological approaches for the development of sDSL are described. As well as mathematical model and foundation for such a concept is presented.
Vitaly S. Gumirov   +2 more
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Domain specific languages contextualized

Proceedings of the South African Institute of Computer Scientists and Information Technologists Conference on Knowledge, Innovation and Leadership in a Diverse, Multidisciplinary Environment, 2011
Many software systems attempt to provide solutions to problems located in the real-world. Problem frames identify specific combinations, and interactions, of problems, real-world domains, and requirements. Domain-Specific Languages (DSL's) are exemplary in their ability to provide solutions to specific problem domains.
Michael H. Matthee, Stephen P. Levitt
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On Domain-Specific Languages Reengineering

2005
Domain-specific languages (DSL) provides high-level functions making applications easier to write, and to maintain. Unfortunately, many applications are written from scratch and poorly documented, which make them hard to maintain. An ideal solution should be to rewrite them in a appropriate DSL.
Alias, Christophe, Barthou, Denis
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Folding domain-specific languages

ACM SIGPLAN Notices, 2014
A domain-specific language can be implemented by embedding within a general-purpose host language. This embedding may be deep or shallow , depending on whether terms in the language construct syntactic or semantic representations.
Jeremy Gibbons, Nicolas Wu
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Domain specific meta languages

Proceedings of the 2000 ACM symposium on Applied computing - Volume 2, 2000
There are several di erent problem domains in the implementation of language processing tools. The manipulation of textual data when generating code, creation and inspection of environments during type checking, and analysis of dependency graphs during program optimization and parallelization are but a few.
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