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Dynamic change within workflow systems

Authors:

Clarence Ellis,

Grzegorz RozenbergAuthors Info & Claims

COCS '95: Proceedings of conference on Organizational computing systems

Pages 10 - 21

https://doi.org/10.1145/224019.224021

Published: 13 August 1995 Publication History

Abstract

Dynamic change is a large and pervasive unsolved problem which surfaces within office systems as well as within software engineering, manufacturing, and numerous other domains. Procedural changes, performed in an ad hoc manner, can cause inefficiencies, inconsistencies, and catastrophic breakdowns within offices. This paper is concerned with dynamic change to procedures in the context of workflow systems. How can we make workflow systems more flexible and open? We believe that part of the answer lies in the study and solution of the dynamic change problem. In this paper, we use a Petri net formalism to analyze structural change within office procedures. As an example, we define a class of change called “synthetic cut-over change”, and apply our formalism to prove that this class maintains correctness when downsizing occurs.

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Cited By

Bouhamed MChaoui ANouara RDíaz GDembri A(2022)Reducing the number of migrated instances during business process change: A graph rewriting approachJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2022.06.01334:9(7720-7734)Online publication date: Oct-2022
https://doi.org/10.1016/j.jksuci.2022.06.013
Ben Fraj IBenDaly Hlaoui YBenAyed L(2021)A reactive system for specifying and running flexible cloud service business processes based on machine learning2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC51774.2021.00220(1483-1489)Online publication date: Jul-2021
https://doi.org/10.1109/COMPSAC51774.2021.00220
Ferilli S(2020)Incremental Declarative Process Mining with WoMan2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)10.1109/EAIS48028.2020.9122700(1-8)Online publication date: May-2020
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cover image ACM Conferences

COCS '95: Proceedings of conference on Organizational computing systems

August 1995

353 pages

ISBN:0897917065

DOI:10.1145/224019

Editors:
Nora Comstock
Comstock Connections, Austin, TX
,
Clarence Ellis
Univ. of Boulder, Boulder, CO

Copyright © 1995 ACM.

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

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Published: 13 August 1995

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COOCS95: Conference on Organizational Computing Systems

August 13 - 16, 1995

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Cited By

Bouhamed MChaoui ANouara RDíaz GDembri A(2022)Reducing the number of migrated instances during business process change: A graph rewriting approachJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2022.06.01334:9(7720-7734)Online publication date: Oct-2022
https://doi.org/10.1016/j.jksuci.2022.06.013
Ben Fraj IBenDaly Hlaoui YBenAyed L(2021)A reactive system for specifying and running flexible cloud service business processes based on machine learning2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC51774.2021.00220(1483-1489)Online publication date: Jul-2021
https://doi.org/10.1109/COMPSAC51774.2021.00220
Ferilli S(2020)Incremental Declarative Process Mining with WoMan2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)10.1109/EAIS48028.2020.9122700(1-8)Online publication date: May-2020
https://doi.org/10.1109/EAIS48028.2020.9122700
Fraj IHlaoui YBenAyed L(2020)A control system for managing the flexibility in BPMN models of cloud service workflows2020 IEEE 13th International Conference on Cloud Computing (CLOUD)10.1109/CLOUD49709.2020.00081(537-543)Online publication date: Oct-2020
https://doi.org/10.1109/CLOUD49709.2020.00081
Fu YDrager S(2019)Reconfiguration of Autonomous RoboticsRapid Automation10.4018/978-1-5225-8060-7.ch071(1511-1527)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-8060-7.ch071
Goldstein AJohanndeiter TFrank U(2019)Business process runtime modelsInformation Systems and e-Business Management10.1007/s10257-018-0374-217:1(27-64)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1007/s10257-018-0374-2
Nahabedian LBraberman VD’ippolito NKramer JUchitel S(2019)Dynamic Reconfiguration of Business ProcessesBusiness Process Management10.1007/978-3-030-26619-6_5(35-51)Online publication date: 23-Jul-2019
https://doi.org/10.1007/978-3-030-26619-6_5
Grambow GOberhauser RReichert M(2018)Providing Automated Holistic Process and Knowledge Assistance During Software ModernizationComputer Systems and Software Engineering10.4018/978-1-5225-3923-0.ch015(351-395)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-3923-0.ch015
Pradhan AJoshi R(2018)A Taxonomy of Consistency Models in Dynamic Migration of Business ProcessesIEEE Transactions on Services Computing10.1109/TSC.2017.273541311:3(562-579)Online publication date: 1-May-2018
https://doi.org/10.1109/TSC.2017.2735413
Song WJacobsen H(2018)Static and Dynamic Process ChangeIEEE Transactions on Services Computing10.1109/TSC.2016.253602511:1(215-231)Online publication date: 1-Jan-2018
https://doi.org/10.1109/TSC.2016.2536025
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