Supporting Software Language Engineering by Automated Domain Knowledge Acquisition

  • Henning Agt
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7167)


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.


Modeling Language Knowledge Acquisition Abstract Syntax Modeling Guidance Exist Knowledge Base 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Henning Agt
    • 1
  1. 1.Technische Universität BerlinBerlinGermany

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