• DocumentCode
    185599
  • Title

    Deadlock and Temporal Properties Analysis in Mixed Reality Applications

  • Author

    Devillers, R. ; Didier, Jean-Yves ; Klaudel, Hanna ; Arcile, Johan

  • Author_Institution
    Dept. d´Inf., Univ. Libre de Bruxelles, Brussels, Belgium
  • fYear
    2014
  • fDate
    3-6 Nov. 2014
  • Firstpage
    55
  • Lastpage
    65
  • Abstract
    Mixed reality systems overlay real data with virtual information in order to assist users in their current task, they are used in many fields (surgery, maintenance, entertainment). Such systems generally combine several hardware components operating at different time scales, and software that has to cope with these timing constraints. MIRELA, for Mixed Reality Language, is a framework aimed at modelling, analysing and implementing systems composed of sensors, processing units, shared memories and rendering loops, communicating in a well-defined manner and submitted to timing constraints. The paper describes how harmful software behaviour, which may result in possible hardware deterioration or revert the system´s primary goal from user assistance to user impediment, may be detected such as (global and local) deadlocks or starvation features. This also includes a study of temporal properties resulting in a finer understanding of the software timing behaviour, in order to fix it if needed.
  • Keywords
    automata theory; concurrency control; virtual reality languages; MIRELA; deadlock feature; hardware deterioration; mixed reality language; mixed reality systems; software timing behaviour; temporal properties analysis; timed automata; virtual information; Automata; Cameras; Clocks; Rendering (computer graphics); Sensors; System recovery; Virtual reality; Mixed reality; deadlocks; temporal properties; timed automata;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Reliability Engineering (ISSRE), 2014 IEEE 25th International Symposium on
  • Conference_Location
    Naples
  • ISSN
    1071-9458
  • Print_ISBN
    978-1-4799-6032-3
  • Type

    conf

  • DOI
    10.1109/ISSRE.2014.33
  • Filename
    6982614