Domain Specific Languages
25 Feb 2010-International Journal of Computer Applications (Foundation of Computer Science FCS)-Vol. 1, Iss: 21, pp 105-111
TL;DR: A number of DSLs spanning various phases of software development life cycle in terms of features that elucidates their advantages over general purpose languages and perform in depth study by practically applying a few open source DSLs: ‘Cascading’, Naked Objects Framework and RSpec.
Abstract: To match the needs of the fast paced generation, the speed of computing has also increased enormously. But, there is a limit to which the processor speed can be amplified. Hence in order to increase productivity, there is a need to change focus from processing time to programming time. Reduction in programming time can be achieved by identifying the domain to which the task belongs and using an appropriate Domain Specific Language (DSL). DSLs are constrained to use terms and concepts pertaining to an explicit domain making it much easier for the programmers to understand and learn, and cuts down the development time drastically. In this paper, we will understand what a DSL is; explore a number of DSLs spanning various phases of software development life cycle in terms of features that elucidates their advantages over general purpose languages and perform in depth study by practically applying a few open source DSLs: ‘Cascading’, Naked Objects Framework and RSpec.
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28 Sep 2014TL;DR: This paper provides an overview over the notations supported by JetBrains MPS, a language workbench that uses a projectional editor that can deal with many different notational styles, including text, prose, math tables and graphics.
Abstract: To be able to build effective DSLs, these DSLs must not just use language concepts that are aligned with their respective domain, but also use notations that correspond closely to established domain notations – and those are often not purely textual or graphical. The underlying language workbench must support these notations, and combining different notations in a single editor must be supported as well in order to support the coherent definitions of systems that use several DSLs. In this paper we provide an overview over the notations supported by JetBrains MPS. MPS is a language workbench that uses a projectional editor, which, by its very nature, can deal with many different notational styles, including text, prose, math tables and graphics. The various supported notations are illustrated with examples from real-world systems.
4 citations
TL;DR: This work provides refactoring support for the evolution of existing browser-level tests into business-level specifications that are mapped to the browser level for automatic verification.
Abstract: Usually, test automation scripts for a web application directly mirror the actions that the tester carries out in the browser, but they tend to be verbose and repetitive, making them expensive to maintain and ineffective in an agile setting. Our research has focussed on providing tool-support for business-level, example-based specifications that are mapped to the browser level for automatic verification. We provide refactoring support for the evolution of existing browser-level tests into business-level specifications. As resulting business rule tables may be incomplete, redundant or contradictory, our tool provides feedback on coverage.
4 citations
26 Nov 2016
TL;DR: The main idea is to encourage the students to approach mathematical domains from a functional programming perspective: to identify the main functions and types involved and, when necessary, to introduce new abstractions.
Abstract: We present the approach underlying a course on Domain-Specific Languages of Mathematics, currently being developed at Chalmers in response to difficulties faced by third-year students in learning and applying classical mathematics (mainly real and complex analysis). The main idea is to encourage the students to approach mathematical domains from a functional programming perspective: to identify the main functions and types involved and, when necessary, to introduce new abstractions; to give calculational proofs; to pay attention to the syntax of the mathematical expressions; and, finally, to organise the resulting functions and types in domain-specific languages.
4 citations
TL;DR: A Domain Specific Language (DSL) for modeling indoor environments is presented, allowing to create internal representation models, independent of platform, to create indoor map models for infrastructure of Indoor Navigation System.
Abstract: Internal positioning and navigation tools provide important information about semantic aspects of buildings, however information about indoor maps construction is not usually available and designing tools used for modeling indoor environments are hard to use or expensive. In this article, a Domain Specific Language (DSL) for modeling indoor environments is presented, allowing to create internal representation models, independent of platform. This work aims to create indoor map models for infrastructure of Indoor Navigation System (INavigS), where all the domain concepts present in the tool are used to specify models. The principles of the Model Driven Approach (MDA) are applied to define a metamodel language. In addition, a graphical interface is provided for modeling indoor environment models used by INavigS, allowing to model internal indoor environments quickly and easily, keeping the focus on concerns related to the domain of navigation infrastructure.
4 citations
Posted Content•
TL;DR: In this article, the concept of software categories is used to semi-automatically determine candidates for generated code from the dependencies of previously defined code categories, and the candidates for handwritten code are code parts belonging to specific (previously defined) categories.
Abstract: In model-driven development (MDD) software emerges by systematically transforming abstract models to concrete source code. Ideally, performing those transformations is to a large extent the task of code generators. One approach for developing a new code generator is to write a reference implementation and separate it into handwritten and generatable code. Typically, the generator developer manually performs this separation a process that is often time-consuming, labor-intensive, difficult to maintain and may produce more code than necessary. Software categories provide a way for separating code into designated parts with defined dependencies, for example, "Business Logic" code that may not directly use "Technical" code. This paper presents an approach that uses the concept of software categories to semi-automatically determine candidates for generated code. The main idea is to iteratively derive the categories for uncategorized code from the dependencies of categorized code. The candidates for generated or handwritten code finally are code parts belonging to specific (previously defined) categories. This approach helps the generator developer in finding candidates for generated code more easily and systematically than searching by hand and is a step towards tool-supported development of generative software.
4 citations
References
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TL;DR: The literature available on the topic of domain-specific languages as used for the construction and maintenance of software systems is surveyed, and a selection of 75 key publications in the area is listed.
Abstract: We survey the literature available on the topic of domain-specific languages as used for the construction and maintenance of software systems. We list a selection of 75 key publications in the area, and provide a summary for each of the papers. Moreover, we discuss terminology, risks and benefits, example domain-specific languages, design methodologies, and implementation techniques.
1,538 citations
Book•
23 Sep 2010
TL;DR: This book covers a variety of different techniques available for DSLs and can be used with whatever programming language you happen to be using, most of the examples are in Java or C#.
Abstract: Designed as a wide-ranging guide to Domain Specific Languages (DSLs) and how to approach building them, this book covers a variety of different techniques available for DSLs. The goal is to provide readers with enough information to make an informed choice about whether or not to use a DSL and what kinds of DSL techniques to employ. Part I is a 150-page narrative overview that gives you a broad understanding of general principles. The reference material in Parts II through VI provides the details and examples you willneed to get started using the various techniques discussed. Both internal and external DSL topics are covered, in addition to alternative computational models and code generation. Although the general principles and patterns presented can be used with whatever programming language you happen to be using, most of the examples are in Java or C#.
908 citations