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Current microservice testing overlooks the cascading chaos of real-world uncertainties, demanding a new fuzzing paradigm that embraces the unpredictable nature of distributed systems.
LLM-based multi-agent systems in healthcare can be made more reliable and diagnosable by explicitly modeling and managing uncertainty throughout the system lifecycle, not just at the model level.
SysML v2, the next-generation systems modeling language, gets a boost with first-class uncertainty representation via a PSUM metamodel integration.
