A Bayesian network scoring methodology has been used to select the best Real-time operating system (RTOS) for the Space Shuttle Cockpit Avionics Upgrade (CAU). The process obtained scores for various RTOS measures using a Bayesian network and then performed trade-off analyses between the scores using multi-criteria decision analysis software to rank order the available set of RTOS candidates. Using this methodology, the Independent Program Assessment Office (IPAO) validated USAs RTOS selection for the Shuttle CAU. The method allowed for an objective, nonadvocate, in-depth study of the RTOS candidates and served to verify RTOS performance and integrity in order to provide a clear justification process to Space Shuttle decision-makers.


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    Title :

    Space Shuttle RTOS Bayesian Network


    Contributors:

    Publication date :

    2004


    Size :

    16 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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