• DocumentCode
    1923589
  • Title

    Automated Analysis and Code Generation for Domain-Specific Models

  • Author

    Edwards, George ; Brun, Yuriy ; Medvidovic, Nenad

  • Author_Institution
    Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2012
  • fDate
    20-24 Aug. 2012
  • Firstpage
    161
  • Lastpage
    170
  • Abstract
    Domain-specific languages (DSLs) concisely express the essential features of system designs. However, using a DSL for automated analysis and code generation requires developing specialized tools. We describe how to create model analysis and code generation tools that can be applied to a large family of DSLs, and show how we created the LIGHT platform, a suite of such tools for the family of software architecture-based DSLs. These tools can be easily reused off-the-shelf with new DSLs, freeing engineers from having to custom-develop them. The key innovation underlying our strategy is to enhance DSL metamodels with additional semantics, and then automatically synthesize configurations and plug-ins for flexible analysis and code generation frameworks. Our evaluation shows that, for a DSL of typical size, using our strategy relieves software engineers of developing approximately 17,500 lines of code, which amounts to several person-months of programming work.
  • Keywords
    software architecture; software tools; specification languages; DSL metamodel enhancement; LIGHT platform; architecture-based DSL; automated analysis; automatic configuration synthesis; code generation; domain-specific languages; domain-specific models; model analysis; plug-ins; system designs; Analytical models; Computer architecture; DSL; Generators; Semantics; Software; Unified modeling language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Architecture (WICSA) and European Conference on Software Architecture (ECSA), 2012 Joint Working IEEE/IFIP Conference on
  • Conference_Location
    Helsinki
  • Print_ISBN
    978-1-4673-2809-8
  • Type

    conf

  • DOI
    10.1109/WICSA-ECSA.212.24
  • Filename
    6337714