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Supporting Software Language Engineering by Automated Domain Knowledge Acquisition

  • Conference paper
Models in Software Engineering (MODELS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7167))

Abstract

In model-driven engineering, domain-specific languages (DSLs) play an important role in providing well-defined environments for modeling different aspects of a system. Detailed knowledge of the application domain as well as expertise in language engineering is required to create new languages. This research work proposes automated knowledge acquisition to support language engineers in early language development phases. We describe an iterative approach in which DSL development benefits from formalized knowledge sources and information extraction from text supporting domain analysis and metamodel construction. We show how the acquired knowledge is used to guide language engineers and how knowledge acquisition is adapted according to modeling decisions.

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Authors and Affiliations

  1. Technische Universität Berlin, Einsteinufer 17, 10587, Berlin, Germany

    Henning Agt

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  1. Henning Agt
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Editors and Affiliations

  1. School of Computer Science, McGill University, 3480 University, McConnell Eng. 318, H3A 0E9, Montreal, QC, Canada

    Jörg Kienzle

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Agt, H. (2012). Supporting Software Language Engineering by Automated Domain Knowledge Acquisition. In: Kienzle, J. (eds) Models in Software Engineering. MODELS 2011. Lecture Notes in Computer Science, vol 7167. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29645-1_2

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  • DOI: https://doi.org/10.1007/978-3-642-29645-1_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29644-4

  • Online ISBN: 978-3-642-29645-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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