Artifact-Driven Business Process Monitoring A Novel Approach to Tran
This book proposes a novel technique, named artifact-driven process monitoring, by which multi-party processes, involving non-automated activities, can be continuously and autonomously monitored. This technique exploits the Internet of Things (IoT) paradi
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Giovanni Meroni
Artifact-Driven Business Process Monitoring A Novel Approach to Transparently Monitor Business Processes, Supported by Methods, Tools, and Real-World Applications
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Lecture Notes in Business Information Processing Series Editors Wil van der Aalst RWTH Aachen University, Aachen, Germany John Mylopoulos University of Trento, Trento, Italy Michael Rosemann Queensland University of Technology, Brisbane, QLD, Australia Michael J. Shaw University of Illinois, Urbana-Champaign, IL, USA Clemens Szyperski Microsoft Research, Redmond, WA, USA
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More information about this series at http://www.springer.com/series/7911
Giovanni Meroni
Artifact-Driven Business Process Monitoring A Novel Approach to Transparently Monitor Business Processes, Supported by Methods, Tools, and Real-World Applications
123
Author Giovanni Meroni Politecnico di Milano Milan, Italy
ISSN 1865-1348 ISSN 1865-1356 (electronic) Lecture Notes in Business Information Processing ISBN 978-3-030-32411-7 ISBN 978-3-030-32412-4 (eBook) https://doi.org/10.1007/978-3-030-32412-4 © Springer Nature Switzerland AG 2019 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 book is a revised version of the PhD dissertation written by the author at: Politecnico di Milano, Italy. The original PhD dissertation is accessible at http://hdl.handle.net/10589/141243. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
In memory of my grandmother, Lidia
Preface
This book is a revised version of the PhD dissertation written by the author at the PhD School of Information Engineering of Politecnico di Milano (Italy). In 2019, the PhD dissertation won the CAiSE PhD Award, granted to outstanding PhD theses in the field of information systems engineering. Traditionally, to monitor
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