arXiv — cs.AI preprintsInternational9 October 2026
Beyond Component Testing: Validating Agentic AI Systems
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arXiv:2607.29405v2 Announce Type: replace Abstract: Agentic AI systems act through multi-step trajectories that combine planning, tool use, memory, interaction, and adaptation. This behavior stretches validation practice beyond component testing and one-shot input-output evaluation, because acceptable system behavior now depends on how decisions unfold over time and under changing environmental conditions. This systematic mapping study synthesizes 262 papers spanning agent evaluation, software assurance, cyber-physical systems, runtime monitoring, and regulatory guidance in order to characteri
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