• DocumentCode
    3254930
  • Title

    An approach to automatic verification of stochastic graph transformations

  • Author

    Al vand, M. Z Mir ; Hajee, M.

  • Author_Institution
    Branch of Malayer, Dept. of Comput. Eng., Islamic Azad Univ., Malayer, Iran
  • fYear
    2009
  • fDate
    23-26 Jan. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Non-functional requirements like performance and reliability play a prominent role in distributed and dynamic systems. To measure and predict such properties using stochastic formal methods is crucial. At the same time, graph transformation systems are a suitable formalism to formally model distributed and dynamic systems. Already, to address these two issues, stochastic graph transformation systems (SGTS) have been introduced to model dynamic distributed systems. But most of the researches so far are concentrated on SGTS as a modelling means without considering the need for suitable analysis tools. In this paper, we present an approach to verify this kind of graph transformation systems using PRISM (a stochastic model checker). We translate the SGTS to the input language of PRISM and then PRISM performs the model checking and returns the results back to the designers.
  • Keywords
    distributed processing; formal verification; graph theory; stochastic processes; PRISM; distributed system; dynamic system; model checking; nonfunctional requirements; stochastic formal method; stochastic graph transformation systems verification; stochastic model checker; Automatic logic units; Fault detection; Formal verification; Mathematical model; Probabilistic logic; Software engineering; Specification languages; Stochastic processes; Stochastic systems; Unified modeling language; Continuous-Time Markov Chain; Graph Transformation; Stochastic Model Checking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2009 - 2009 IEEE Region 10 Conference
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-4546-2
  • Electronic_ISBN
    978-1-4244-4547-9
  • Type

    conf

  • DOI
    10.1109/TENCON.2009.5395989
  • Filename
    5395989