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