DMCA
Agile Engineering of Internal Domain-Specific Languages with Dynamic Programming Languages
| Citations: | 1 - 0 self |
BibTeX
@MISC{Günther_agileengineering,
author = {Sebastian Günther and Maximilian Haupt and Matthias Splieth},
title = {Agile Engineering of Internal Domain-Specific Languages with Dynamic Programming Languages},
year = {}
}
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Abstract
Abstract—Domain-Specific Languages (DSL) abstract from the domain entities and operations to represent domain knowledge in the form of an executable language. While they solve many of the current software development challenges, related literature claims that DSLs usually have a flaw: The high effort required to implement and use them. However, internal DSLs are developed with less effort because they are built on top of an existing programming language and can use the whole language infrastructure consisting of interpreter, compiler, or editors. This article presents an engineering process for internal DSLs. An agile process leads from analysis to design and implementation. Expressions and language capabilities are implemented using tests and a set of patterns, which provide reusable knowledge how to properly structure and design the DSL implementation. As a case study, we show how to implement a software product line configuration DSL using Ruby and Python as host languages. In summary, the proposed process and patterns facilitate the successful planning and developing of internal DSLs using dynamic programming languages as the host. Keywords-domain-specific languages I.
Keyphrases
dynamic programming language agile engineering internal dsl internal domain-specific language case study executable language agile process domain entity abstract domain-specific language dsl implementation programming language host language related literature claim reusable knowledge language capability domain knowledge keywords-domain-specific language successful planning high effort engineering process current software development challenge software product line configuration dsl whole language infrastructure
