Towards a methodology for the engineering of event-driven process applications

A. Baumgrass, M. Botezatu, C. Di Ciccio, R.M. Dijkman, P.W.P.J. Grefen, M. Hewelt, J. Mendling, A. Meyer, S. Pourmirza, H. Völzer

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

12 Citations (Scopus)

Abstract

Successful applications of the Internet of Things such as smart cities, smart logistics, and predictive maintenance, build on observing and analyzing business-related objects in the real world for business process execution and monitoring. In this context, complex event processing is increasingly used to integrate events from sensors with events stemming from business process management systems. This paper describes a methodology to engineer event-driven logistics processes application. Thereby, we describe the requirements, use cases and lessons learned to design and implement such an architecture.
Original languageEnglish
Title of host publication1st International Workshop on Process Engineering (IWPE 2015), 31 August 2015, Innsbruck, Austria
EditorsH. Reijers, M. Reichert
Place of PublicationBerlin
PublisherSpringer
Pages501-514
Number of pages14
ISBN (Electronic)978-3-319-42887-1
ISBN (Print)978-3-319-42886-4
DOIs
Publication statusPublished - 22 Jul 2016
Event1st International Workshop on Process Engineering (IWPE 2015) - University of Innsbruck, Innsbruck, Austria
Duration: 31 Aug 201531 Aug 2015
Conference number: 1
http://bpt.hpi.uni-potsdam.de/IWPE

Publication series

NameLecture Notes in Business Information Processing
Volume256

Workshop

Workshop1st International Workshop on Process Engineering (IWPE 2015)
Abbreviated titleIWPE 2015
CountryAustria
CityInnsbruck
Period31/08/1531/08/15
OtherWorkshop held at the 13th International Conference on Business Process Management (BPM 2015)
Internet address

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