The Systems-of-Systems life cycle is challenging due to inherent System-of-Systems characteristics, such as autonomy, belonging, connectivity, diversity, and emergency. Different hazardous behaviors may arise from these characteristics, preventing the System-of-Systems from performing its mission. A hazard is a potential condition that can cause injury, illness, or death to personnel, damage to or loss of a system, equipment, or property, or damage to the environment. At the System-of-Systems-level, hazards can emerge from interactions between Constituent Systems and inside a given system. System-of-Systems hazardous behaviors can propagate throughout the Constituent Systems, and managing them is complex, time-consuming, and errorprone. Performing System-of-Systems safety analysis is still challenging since existing safety analysis techniques and tools do not consider the its inherent characteristics that can emerge throughout the System-of-Systems life cycle. In this context, this work intends to support safety analysis at the System-of-Systems-level to define which Constituent Systems meet the systems' safety properties to be incorporated into the System-of-Systems operation. This objective has been reached by proposing an approach that intends to adapt existing compositional techniques to enable semi-automated support for System-of-Systems safety analysis, as well as a meta-model to support System-of-Systems design and safety analysis, which consists of a structured way to model the information regarding System-of-Systems and its Constituent Systems to perform systems safety analysis. The approach was evaluated through an illustrative study of a System-of-Systems from the automotive domain, which provided evidence that System-of-Systems safety analysis can be performed at the System-of-Systems-level.
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