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Titlebook: Software Language Engineering; Third International Brian Malloy,Steffen Staab,Mark Brand Conference proceedings 2011 Springer Berlin Heide

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The Level-Agnostic Modeling Languageel” of such a language, but to date there has been no systematic or fully elaborated definition of its concrete syntax. In this paper we address this problem by introducing the key elements of a language, known as the Level-Agnostic Modeling Language (LML) designed to support multi-level modeling.
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Automated Selective Caching for Reference Attribute Grammarsan be used as the in-memory model providing semantic information for software language tools such as compilers, refactoring tools, and meta-modeling tools. RAG performance is based on dynamic attribute evaluation with caching. Caching all attributes gives optimal performance in the sense that each a
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Metamodel Usage Analysis for Identifying Metamodel Improvementsodels define their constructs and thereby reflect the expectations of the language developers about the use of the language. In practice, language users often do not use the constructs provided by a metamodel as expected by language developers. In this paper, we advocate that insights about how cons
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Feature and Meta-Models in Clafer: Mixed, Specialized, and Couplede models, mixtures of meta- and feature models (such as components with options), and models that couple feature models and meta-models via constraints (such as mapping feature configurations to component configurations or model templates). Clafer also allows arranging models into multiple specializ
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Support for the Evolution of C++ Generic Functionspecification of requirements for a template argument or a set of template arguments is called a ...In this paper, we present a novel tool, TACE (template analysis and concept extraction), designed to help programmers understand the requirements that their code de facto imposes on arguments and help
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