Runtime Verification

21st International Conference, RV 2021, Virtual Event, October 11¿14, 2021, Proceedings
Herausgegeben:Feng, Lu; Fisman, Dana

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the 21st International Conference on Runtime Verification, RV 2021, held virtually during October 11-14, 2021.
The 11 regular papers and 7 short/tool/benchmark papers presented in this book were carefully reviewed and selected from 40 submissions. Also included is one tutorial paper.

The RV conference is concerned with all aspects of monitoring and analysis of hardware, software and more general system executions.

Produktdetails

• Lecture Notes in Computer Science 12974
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-88493-2
• 1st ed. 2021
• Seitenzahl: 344
• Erscheinungstermin: 6. Oktober 2021
• Englisch
• Abmessung: 235mm x 155mm x 19mm
• Gewicht: 522g
• ISBN-13: 9783030884932
• ISBN-10: 3030884937
• Artikelnr.: 62514559

Inhaltsangabe

Regular Papers.- Predicate Monitoring in Distributed Cyber-physical Systems.- Specifying Properties over Inter-Procedural, Source Code Level Behaviour of Programs.- Into the Unknown: Active Monitoring of Neural Networks.- Monitoring with Verified Guarantees.- On the Interpretation and Monitoring of Timed Deontic Logics.- Efficient Black-Box Checking via Model Checking with Strengthened Specifications.- Neural Predictive Monitoring under Partial Observability.- A Compositional Framework for Quantitative Online Monitoring over Continuous-time Signals.- Nested Monitors: Monitors as Expressions to Build Monitors.- Diamont: Dynamic Monitoring of Uncertainty for Distributed Asynchronous Programs.- Assumption-Based Runtime Veri cation of Infinite-State Systems.- Short Papers and Tool Papers.- Differential Monitoring.- Ortac: Runtime Assertion Checking for OCaml (tool paper).- Gaussian-based runtime detection of out-of-distribution inputs for neural networks.- Parallel and Multi-Objective Falsification with Scenic and VerifAI.- A Theoretical Framework for Understanding the Relationship between Log Parsing and Anomaly Detection.- Specification and Runtime Verification of Temporal Assessments in Simulink.- PerceMon: Online Monitoring for Perception Systems.- Tutorial Paper.- Formal Analysis of AI-Based Autonomy: From Modeling to Runtime Assurance.