First International Competition on Software for Runtime Verification -- Monitoring and Trace Slicing -- Multiple Ways to Fail: Generalizing a Monitor’s Verdict for the Classification of Execution Traces -- Scalable Offline Monitoring -- Monitoring Systems with Extended Live Sequence Charts -- Foundations of Boolean Stream Runtime Verification -- Portable Runtime Verification with Smartphones and Optical Codes -- Robust Consistency Checking for Modern Filesystems -- Runtime Verification of Distributed and Concurrent Systems -- On the Number of Opinions Needed for Fault-Tolerant Run-Time Monitoring in Distributed Systems -- Supporting the Specification and Runtime Validation of Asynchronous Calling Patterns in Reactive Systems -- Speculative Program Parallelization with Scalable and Decentralized Runtime Verification -- Organising LTL Monitors over Distributed Systems with a Global Clock -- Dynamic Verification for Hybrid Concurrent Programming Models -- Abstraction and Mining of Traces to Explain Concurrency Bugs -- Runtime Verification of Real-Time and Embedded Systems -- Online Monitoring of Metric Temporal Logic -- On Real-Time Monitoring with Imprecise Timestamps -- ModelPlex: Verified Runtime Validation of Verified Cyber-Physical System Models -- Runtime Observer Pairs and Bayesian Network Reasoners On-board FPGAs: Flight-Certifiable System Health Management for Embedded Systems -- On-Line Monitoring for Temporal Logic Robustness -- ROSRV: Runtime Verification for Robots -- Testing and Bug Finding -- Symbolic Execution Debugger (SED) -- Checking Data Structure Properties Orders of Magnitude Faster -- Dynamic Test Generation with Static Fields and Initializers -- RV-Monitor: Efficient Parametric Runtime Verification with Simultaneous Properties -- Inference and Learning -- Improving Dynamic Inference with Variable Dependence Graph -- The TTT Algorithm: A Redundancy-Free Approach to Active Automata Learning -- Lazy Symbolic Execution for Enhanced Learning -- Faster Statistical Model Checking by Means of Abstraction and Learning.