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Utilising bitemporal information for business process contingency management

Published: 01 February 2016 Publication History

Abstract

In today's enterprise environment, business processes no longer operate in an isolated fashion, driven purely by human input. Instead, they exchange information across organisations as well as interacting directly with sensors and actuators in the Internet of Things. This means that traditional assumptions about processes having a "perfect" view of the world no longer hold as real world events affect prior plans. Critical decisions must be made based on temporal information of events which potentially lead to reconfiguration of business processes to provide the desired service within specified time limits. Currently, temporal aspects of business processes only consider events in a single time dimension. However, recent architectures such as modern database systems are starting to provide the capabilities for handling two time dimensions. In this paper, we investigate how the impact of a change in an event can be identified using bitemporal information from business events. We take into consideration the underlying data model as well as behaviour specifications in the form of artifact lifecycles. Identifying the impact will enable us to tailor appropriate process adaptions as a result of event time changes.

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Cited By

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  • (2017)Contingency Management for Event-Driven Business ProcessesOn the Move to Meaningful Internet Systems. OTM 2017 Conferences10.1007/978-3-319-69462-7_21(314-333)Online publication date: 20-Oct-2017
  • (2016)Propagation of Event Content Modification in Business ProcessesService-Oriented Computing10.1007/978-3-319-46295-0_5(70-84)Online publication date: 20-Sep-2016

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cover image ACM Other conferences
ACSW '16: Proceedings of the Australasian Computer Science Week Multiconference
February 2016
654 pages
ISBN:9781450340427
DOI:10.1145/2843043
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 February 2016

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Author Tags

  1. bitemporal events
  2. business artifacts lifecycle
  3. contigency management
  4. data model
  5. impact analysis

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  • Research-article

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  • Data to Decisions Cooperative Research Centre

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ACSW '16
ACSW '16: Australasian Computer Science Week
February 1 - 5, 2016
Canberra, Australia

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ACSW '16 Paper Acceptance Rate 77 of 172 submissions, 45%;
Overall Acceptance Rate 204 of 424 submissions, 48%

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Cited By

View all
  • (2017)Contingency Management for Event-Driven Business ProcessesOn the Move to Meaningful Internet Systems. OTM 2017 Conferences10.1007/978-3-319-69462-7_21(314-333)Online publication date: 20-Oct-2017
  • (2016)Propagation of Event Content Modification in Business ProcessesService-Oriented Computing10.1007/978-3-319-46295-0_5(70-84)Online publication date: 20-Sep-2016

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