Beyond Component Testing: Validating Agentic AI Systems
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…