• DocumentCode
    2323055
  • Title

    A Graph-Model-Based Testing Method Compared with the Classification Tree Method for Test Case Generation

  • Author

    Belli, Fevzi ; Hollmann, Axel ; Kleinselbeck, Markus

  • Author_Institution
    Dept. of Electr. Eng. & Inf. Technol., Univ. of Paderborn, Paderborn, Germany
  • fYear
    2009
  • fDate
    8-10 July 2009
  • Firstpage
    193
  • Lastpage
    200
  • Abstract
    In automotive industry, mechanic control units are more and more replaced by electronic devices that are often aggregated in electronic control units (ECU). Systematic testing is one of the preferred industrial validation methods to ensure functionality of those ECUs. It is imperative to reduce the costs and improve the effectiveness of testing by automating the testing process. This paper introduces a model-based testing method using event sequence graphs and compares this approach with the classification tree method which is popular in automotive industry. A case study applies both methods to the formal specification of an adaptive cruise control unit for generation and selection of test cases. To enable a meaningful comparison, test costs and number of faults revealed by both methods will be compared.
  • Keywords
    automobile industry; formal specification; safety-critical software; adaptive cruise control unit; automotive industry; classification tree method; electronic control units; event sequence graphs; formal specification; graph model; industrial validation methods; mechanic control units; test case generation; testing method; Automatic control; Automatic testing; Automotive engineering; Classification tree analysis; Costs; Electrical equipment industry; Electronics industry; Industrial control; Industrial electronics; Tree graphs; classification tree method; electronic control units; event sequence graphs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Secure Software Integration and Reliability Improvement, 2009. SSIRI 2009. Third IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3758-0
  • Type

    conf

  • DOI
    10.1109/SSIRI.2009.40
  • Filename
    5325375