A new thesis explores the unique technical debt found in AI-intensive Cyber-Physical Systems (AI-CPS). These systems, used in areas like autonomous vehicles and healthcare, combine hardware, AI, and conventional software, leading to specialized debt. The research aims to characterize this AI-CPS technical debt, develop methods for its identification, and propose mitigation strategies, potentially through an automated tool supporting agentic AI solutions. AI
IMPACT Highlights the growing complexity and maintenance challenges in AI-integrated physical systems.
RANK_REASON The cluster contains a single academic paper discussing technical debt in AI-CPS. [lever_c_demoted from research: ic=1 ai=1.0]
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