1,319 research outputs found

    The State of the Art in Language Workbenches. Conclusions from the Language Workbench Challenge

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    Language workbenches are tools that provide high-level mechanisms for the implementation of (domain-specific) languages. Language workbenches are an active area of research that also receives many contributions from industry. To compare and discuss existing language workbenches, the annual Language Workbench Challenge was launched in 2011. Each year, participants are challenged to realize a given domain-specific language with their workbenches as a basis for discussion and comparison. In this paper, we describe the state of the art of language workbenches as observed in the previous editions of the Language Workbench Challenge. In particular, we capture the design space of language workbenches in a feature model and show where in this design space the participants of the 2013 Language Workbench Challenge reside. We compare these workbenches based on a DSL for questionnaires that was realized in all workbenches

    Engineering a ROVER language in GEMOC STUDIO & MONTICORE: A comparison of language reuse support

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    Domain-specific languages (DSLs) improve engineering productivity through powerful abstractions and automation. To support the development of DSLs, the software language engineering (SLE) community has produced various solutions for the systematic engineering of DSLs that manifest in language workbenches. In this paper, we investigate the applicability of the language workbenches GEMOC STUDIO and MONTICORE to the MDETools’17 ROVER challenge. To this effect, we refine the challenge’s requirements and show how GEMOC STUDIO and MONTICORE can be leveraged to engineer a Rover-specific DSL by reusing existing DSLs and tooling of GEMOC STUDIO and MONTICORE. Through this, we reflect on the SLE state of the art, detail capabilities of the two workbenches focusing particularly on language reuse support, and sketch how modelers can approach ROVER programming with modern modeling tools

    A Domain-Specific Language and Editor for Parallel Particle Methods

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    Domain-specific languages (DSLs) are of increasing importance in scientific high-performance computing to reduce development costs, raise the level of abstraction and, thus, ease scientific programming. However, designing and implementing DSLs is not an easy task, as it requires knowledge of the application domain and experience in language engineering and compilers. Consequently, many DSLs follow a weak approach using macros or text generators, which lack many of the features that make a DSL a comfortable for programmers. Some of these features---e.g., syntax highlighting, type inference, error reporting, and code completion---are easily provided by language workbenches, which combine language engineering techniques and tools in a common ecosystem. In this paper, we present the Parallel Particle-Mesh Environment (PPME), a DSL and development environment for numerical simulations based on particle methods and hybrid particle-mesh methods. PPME uses the meta programming system (MPS), a projectional language workbench. PPME is the successor of the Parallel Particle-Mesh Language (PPML), a Fortran-based DSL that used conventional implementation strategies. We analyze and compare both languages and demonstrate how the programmer's experience can be improved using static analyses and projectional editing. Furthermore, we present an explicit domain model for particle abstractions and the first formal type system for particle methods.Comment: Submitted to ACM Transactions on Mathematical Software on Dec. 25, 201

    A personal retrospective on language workbenches

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    Model-driven software engineering and specifically domain-specific languages have contributed to improve the quality of software and the efficiency in the development of software. However, the design and implementation of domain-specific languages requires still an enormous investment. Language workbenches are the most important tools in the field of software language engineering. The introduction of language workbenches has alleviated partly the development effort, but there are still a few major challenges that need to be tackled. This paper presents a personal perspective on the development of tools for language engineering and language workbenches in particular and future challenges to be tackled.</p
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