From Statistical Model Checking to Run-Time Monitoring Using a Bayesian Network Approach
We propose a framework for monitoring and updating, at run-time, the probabilities of temporal properties of stochastic timed automata. Our method is based on Bayesian networks and can be useful in various real-time applications, such as flight control sy
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Jyotirmoy Deshmukh Dejan Nicˇ kovic´ (Eds.)
Runtime Verification 20th International Conference, RV 2020 Los Angeles, CA, USA, October 6–9, 2020 Proceedings
Lecture Notes in Computer Science Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA
Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA
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More information about this series at http://www.springer.com/series/7408
Jyotirmoy Deshmukh Dejan Ničković (Eds.) •
Runtime Verification 20th International Conference, RV 2020 Los Angeles, CA, USA, October 6–9, 2020 Proceedings
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Editors Jyotirmoy Deshmukh University of Southern California Los Angeles, CA, USA
Dejan Ničković AIT Austrian Institute of Technology GmbH Vienna, Austria
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-60507-0 ISBN 978-3-030-60508-7 (eBook) https://doi.org/10.1007/978-3-030-60508-7 LNCS Sublibrary: SL2 – Programming and Software Engineering © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
This volume contains the refereed proceedings of the 20th International Conference on Runtime Verification (RV 2020), held virtually October 6–9, 2020. The RV series is a sequence of annual meetings that brings together scientists from both academia and industry interested in investigating novel lightweight formal methods to monitor, analyze, and guide the runtime behavior of softw
