• DocumentCode
    2087764
  • Title

    Incremental Test Case Generation for UML-RT Models Using Symbolic Execution

  • Author

    Rapos, Eric James ; Dingel, Juergen

  • Author_Institution
    Sch. of Comput., Queen´´s Univ., Kingston, ON, Canada
  • fYear
    2012
  • fDate
    17-21 April 2012
  • Firstpage
    962
  • Lastpage
    963
  • Abstract
    Model driven development (MDD) is on the rise in software engineering and no more so than in the realm of realtime and embedded systems. Being able to leverage the code generation and validation techniques made available through MDD is worth exploring, and is a large area of focus in academic and industrial research. However given the iterative nature of MDD, the evolution of models causes test case generation to occur multiple times throughout a software modeling project. Currently, the existing process of regenerating test cases for a modified model of a system can be costly, inefficient, and even redundant. Thus, it is our goal to achieve an improved understanding of the impact of typical state machine evolution steps on test cases, and how this impact can be mitigated by reusing previously generated test cases. We are also aiming to implement this in a software prototype to automate and evaluate our work.
  • Keywords
    Unified Modeling Language; embedded systems; program compilers; program testing; MDD; UML-RT model; code generation; code validation; embedded system; incremental test case generation; model driven development; software engineering; software modeling project; software prototype; state machine evolution; symbolic execution; Computational modeling; Data models; Real time systems; Software; Solid modeling; Testing; Unified modeling language; model-based testing; model-driven development; symbolic execution; test case generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Testing, Verification and Validation (ICST), 2012 IEEE Fifth International Conference on
  • Conference_Location
    Montreal, QC
  • Print_ISBN
    978-1-4577-1906-6
  • Type

    conf

  • DOI
    10.1109/ICST.2012.205
  • Filename
    6200123