Runtime verification is concerned with the monitoring and analysis of the runtime behavior of software and hardware systems. Runtime verification techniques are crucial for system correctness, reliability, and robustness; they provide an additional level of rigor and effectiveness compared to conventional testing and are generally more practical than exhaustive formal verification.

Runtime verification can be used prior to deployment, for testing, verification, and debugging purposes, and after deployment for ensuring reliability, safety, and security and for providing fault containment and recovery as well as online system repair.

The topics of the conference include, but are not limited to:

specification languages for monitoring
monitor construction techniques
program instrumentation
logging, recording, and replay
combination of static and dynamic analysis
specification mining and machine learning over runtime traces
monitoring techniques for concurrent and distributed systems
runtime checking of privacy and security policies
metrics and statistical information gathering
program/system execution visualization
fault localization, containment, resilience, recovery, and repair
monitoring systems with learning-enabled components
dynamic type checking
runtime verification for autonomy and runtime assurance
runtime verification for assurance cases
out-of-distribution and anomaly detection in ML-based systems
safe reinforcement learning