When and how to develop domain-specific languages

By Marjan Mernik, Jan Heering, Anthony M. Sloane. CSUR, 2005

2,103 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Software

View Paper: https://www.semanticscholar.org/paper/1da0b10ba41a613f76843e22b332fc019aa4ff9e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Alberto Manuel Rodrigues da Silva
2. Steven Diamond
3. Akshay Agrawal
4. Lennart C. L. Kats
5. Robin Verschueren
6. Charles E. Leiserson
7. Laurence Duchien
8. Igor L. Markov

In Information Systems

1. Lennart C. L. Kats
2. Chi-Keung Luk
3. Laurence Duchien
4. Igor L. Markov
5. Yann-Gaël Guéhéneuc
6. Stephen P. Boyd
7. Naouel Moha
8. Anne-Françoise Le Meur

In Software

1. Lennart C. L. Kats
2. Charles E. Leiserson
3. Laurence Duchien
4. Igor L. Markov
5. Yann-Gaël Guéhéneuc
6. Naouel Moha
7. Anne-Françoise Le Meur
8. Eelco Visser

Citations in the corpus

• Limits on fundamental limits to computation (2014, methodology): “Customizable domain-specific computing [8] and domain-specific programming languages [9,10] offload specialization to software running on reusable hardware platforms.”
• Model-driven engineering: A survey supported by the unified conceptual model (2015, methodology): “The definition of a modeling language usually starts with the capture and identification of the concepts, abstractions and relations underlying the application domain, which represents domain analysis phase of DS(M)L development [46,32].”
• The pochoir stencil compiler (2011, background): “The Pochoir language can be viewed as a domain-specific language [10,21,31] embedded in the base language C++ with the Cilk multithreading extensions [23].”
• A Rewriting System for Convex Optimization Problems (2017, background): “A domain-specific language (DSL) is a language that is designed for a particular application domain (Mernik, Heering, & Sloane, 2005); familiar examples include MATLAB and SQL. DSLs for convex optimization are languages designed for specifying convex optimization problems in natural, human-readable…”
• DECOR: A Method for the Specification and Detection of Code and Design Smells (2010, methodology): “We could have used another meta-model such as FAMOOS [62] or GXL [63], or a source model extractor, such as LSME [64].”
• The spoofax language workbench: rules for declarative specification of languages and IDEs (2010, methodology): “This allows them to be used for automated, domain-specific analysis, verification, optimization, parallelization, and transformation (AVOPT) [38].”