Runtime Verification

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.