Assurance cases are being increasingly acknowledged as a way to build trust in complex systems with autonomous capabilities [1]. An assurance case is a comprehensive, defensible, and valid justification that a system will function as intended for the specific mission and operating environment. Such justifications for systems with autonomous capabilities are often based on various probabilistic quantifications [2]. Due to the dynamic nature of the environmental conditions in which these systems operate, as well as the changing nature of the autonomous systems themselves, these probabilistic quantifications cannot be simply estimated once during design time. Rather, they need to be continually evaluated during systems operations to ensure that the assurance case justifications are valid. We refer to the assurance case that combines both the static and dynamic elements as a Dynamic Assurance Case (DAC).


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    Title :

    Dynamic Assurance of Autonomous Systems through Ground Control Software∗


    Contributors:

    Conference:

    AIAA SciTech Forum ; 2024 ; Orlando, FL, US


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




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