A Survey of Challenges for Runtime Verification from Advanced Application Domains (Beyond Software)
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Abstract (arXiv)
Runtime verification is an area of formal methods that studies the dynamic analysis of execution traces against formal specifications. Typically, the two main activities in runtime verification efforts are the process of creating monitors from specifications, and the algorithms for the evaluation of traces against the generated monitors. Other activities involve the instrumentation of the system to generate the trace and the communication between the system under analysis and the monitor. Most of the applications in runtime verification have been focused on the dynamic analysis of software, even though there are many more potential applications to other computational devices and target systems. In this paper we present a collection of challenges for runtime verification extracted from concrete application domains, focusing on the difficulties that must be overcome to tackle these specific challenges. The computational models that characterize these domains require to devise new techniques beyond the current state of the art in runtime verification.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Nov 2018.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 1; 2025: 2; 2026: 4.
9 papers.
- 2025AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agentscited by 223
- 2022Correct-by-Construction Runtime Enforcement in AI -- A Surveycited by 12
- 2026A Trace-Based Assurance Framework for Agentic AI Orchestration: Contracts, Testing, and Governancecited by 8
- 2024Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forwardcited by 6
- 2026Zero-Trust Runtime Verification for Agentic Payment Protocols: Mitigating Replay and Context-Binding Failures in AP2cited by 6
- 2025DURA-CPS: A Multi-Role Orchestrator for Dependability Assurance in LLM-Enabled Cyber-Physical Systemscited by 3
- 2026BenchShield: Formal Model-Backed Instrumentation for Reward Integrity in LLM-Agent Evaluation Infrastructurecited by 1
- 2021Address Behaviour Vulnerabilities in the Next Generation of Autonomous Robotscited by 0
- 2026Autonomy in Check: Governor-Mediated Adaptive Security at the Edgecited by 0
- 2026Autonomy in Check: Governor-Mediated Adaptive Security at the Edge16 Sep 2026
- 2026BenchShield: Formal Model-Backed Instrumentation for Reward Integrity in LLM-Agent Evaluation Infrastructure10 Sep 2026
- 2026A Trace-Based Assurance Framework for Agentic AI Orchestration: Contracts, Testing, and Governance18 Mar 2026
- 2026Zero-Trust Runtime Verification for Agentic Payment Protocols: Mitigating Replay and Context-Binding Failures in AP26 Feb 2026
- 2025DURA-CPS: A Multi-Role Orchestrator for Dependability Assurance in LLM-Enabled Cyber-Physical Systems4 Jun 2025
- 2025AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents24 Mar 2025
- 2024Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward12 Apr 2024
- 2022Correct-by-Construction Runtime Enforcement in AI -- A Survey30 Aug 2022
- 2021Address Behaviour Vulnerabilities in the Next Generation of Autonomous Robots24 Mar 2021