• DocumentCode
    1881990
  • Title

    Multiple Fault Models for Timed FSMs

  • Author

    Batth, Samrat S. ; Uyar, M. Ü mit ; Wang, Yu ; Fecko, Mariusz A.

  • Author_Institution
    Dept. of Electr. Eng., City Univ. of New York, NY
  • fYear
    2006
  • fDate
    24-27 April 2006
  • Firstpage
    936
  • Lastpage
    941
  • Abstract
    An implementation under test (IUT) can be formally described using finite-state machines (FSMs). Due to the presence of inherent timing constraints and variables in a communication protocol, an IUT is modeled more accurately by using extended finite-state machines (EFSMs). However, infeasible paths due to the conflicts among timing condition and action variables of EFSMs can complicate the test generation process. The fault detection capability of the graph augmentation method given in M. U. Uyar et al. (2005) and M. A. Fecko et al. (2000) are analyzed in the presence of multiple timing faults. The complexity increases with the consideration of the concurrent running and expiring of timers in a protocol. It is proven that, by using our graph augmentation models, a faulty IUT will be detected for the multiple occurrences of pairwise combinations of a class of timing faults
  • Keywords
    automatic test pattern generation; directed graphs; fault diagnosis; finite state machines; timing; communication protocol; conformance testing; fault detection; finite-state machines; graph augmentation; implementation under test; multiple fault models; multiple timing faults; test generation; timed automata; timing constraints; Automata; Automatic testing; Cities and towns; Educational institutions; Fault detection; Instrumentation and measurement; Protocols; Timing; Upper bound; Conformance Testing; EFSMs; Extended FSMs; Fault Modeling; Simple Faults; Timed Automata; Timers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
  • Conference_Location
    Sorrento
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-9359-7
  • Electronic_ISBN
    1091-5281
  • Type

    conf

  • DOI
    10.1109/IMTC.2006.328260
  • Filename
    4124472