Runtime Verification: 24th International Conference, RV 2024, Istanbul, Turkey, October 15-17, 2024, Proceedings

by Erika Ábrahám (Editor), Houssam Abbas (Editor)

Overview

This book constitutes the refereed proceedings of the 24th International Conference on Runtime Verification, RV 2024, held in Istanbul, Turkey, during October 15-17, 2024.

The 11 full papers, 5 short papers and 2 tool papers included in this book were carefully reviewed and selected from 31 submissions. They were organized in topical sections as follows: Invited Paper; Cyber-physical Systems; Temporal Logics; Speci cation and Visualization; Deep Neural Networks; and Distributed Systems.

Product Details

ISBN-13:	9783031742330
Publisher:	Springer Nature Switzerland
Publication date:	10/12/2024
Series:	Lecture Notes in Computer Science , #15191
Edition description:	2025
Pages:	304
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

.- Invited Paper.
.- Distributed Runtime Verification with Imperfect Monitors: Challenges and Opportunities.
.- Cyber-physical Systems.
.- A Formal Approach for Safe Reinforcement Learning: A Rate-Adaptive Pacemaker Case Study.
.- Stream-based Monitoring under Measurement Noise.
.- Dynamic, Multi-Objective Specification and Falsification of Autonomous CPS.
.- Oblivious Monitoring for Discrete-Time STL via Fully Homomorphic Encryption.
.- Sampling-based and Gradient-based Efficient Scenario Generation.
.- HyperPart-X: Probabilistic Guarantees for Parameter Mining of Signal Temporal Logic Formulas in Cyber-Physical Systems.
.- Temporal Logics.
.- faRM-LTL: A Domain-Specific Architecture for Flexible and Accelerated Runtime Monitoring of LTL Properties.
.- Efficient Online Monitoring for Dynamic Metric Temporal Logic.
.- TimelyMon: A Streaming Parallel First-Order Monitor.
.- Specification and Visualization.
.- Adding State to Stream Runtime Verification.
.- The Complexity of Data-Free Nfer.
.- RTLolaMo3Vis - A Mobile and Modular Visualization Framework for Online Monitoring.
.- Deep Neural Networks.
.- Case Study: Runtime Safety Verification of Neural Network Controlled System.
.- Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forces.
.- Box-based Monitor Approach for Out-of-Distribution Detection in YOLO: An Exploratory Study.
.- Distributed Systems.
.- Distributed Monitoring of Timed Properties.
.- Towards Efficient Runtime Veri ed Linearizable Algorithms.
.- Approximate Distributed Monitoring under Partial Synchrony: Balancing Speed and Accuracy.