Del i serien Lecture Notes in Computer Science

Runtime Verification

21st International Conference, RV 2021, Virtual Event, October 11–14, 2021, Proceedings

Häftad, Engelska, 2021

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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.

Produktinformation

Utgivningsdatum2021-10-06
Mått155 x 235 x 19 mm
Vikt522 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor331
FörlagSpringer Nature Switzerland AG
ISBN9783030884932

Tillhör följande kategorier

Programvaruutveckling inom Data och IT

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.