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Data flow and validation in workflow modelling

Published: 01 January 2004 Publication History
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  • Abstract

    A complete workflow specification requires careful integration of many different process characteristics. Decisions must be made as to the definitions of individual activities, their scope, the order of execution that maintains the overall business process logic, the rules governing the discipline of work list scheduling to performers, identification of time constraints and more. The goal of this paper is to address an important issue in workflows modelling and specification, which is data flow, its modelling, specification and validation. Researchers have neglected this dimension of process analysis for some time, mainly focussing on structural considerations with limited verification checks. In this paper, we identify and justify the importance of data modelling in overall workflows specification and verification. We illustrate and define several potential data flow problems that, if not detected prior to workflow deployment may prevent the process from correct execution, execute process on inconsistent data or even lead to process suspension. A discussion on essential requirements of the workflow data model in order to support data validation is also given.

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    • (2018)Conceptual modeling of inter-dependencies between processes and dataProceedings of the 33rd Annual ACM Symposium on Applied Computing10.1145/3167132.3167141(110-119)Online publication date: 9-Apr-2018
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    Published In

    cover image DL Hosted proceedings
    ADC '04: Proceedings of the 15th Australasian database conference - Volume 27
    January 2004
    214 pages

    Publisher

    Australian Computer Society, Inc.

    Australia

    Publication History

    Published: 01 January 2004

    Author Tags

    1. business process modelling
    2. data validation
    3. workflow data

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    ADC '04
    01 01 2004
    Dunedin, New Zealand

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    Overall Acceptance Rate 98 of 224 submissions, 44%

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    • (2022)Requirements Formulation Neglect as a Major Cause of Poor Data Quality in Information SystemsInternational Journal of Organizational and Collective Intelligence10.4018/IJOCI.30488612:1(1-20)Online publication date: 15-Jul-2022
    • (2019)CSJournal of Intelligent and Robotic Systems10.1007/s10846-018-0831-794:2(371-387)Online publication date: 1-May-2019
    • (2018)Conceptual modeling of inter-dependencies between processes and dataProceedings of the 33rd Annual ACM Symposium on Applied Computing10.1145/3167132.3167141(110-119)Online publication date: 9-Apr-2018
    • (2018)Analysis of information quality requirements in business processes, revisitedRequirements Engineering10.1007/s00766-016-0264-423:2(227-249)Online publication date: 1-Jun-2018
    • (2017)Developing Information Sharing Model Using Cloud Computing and Smart Devices for SMEs Supply ChainInternational Journal of Information Systems and Supply Chain Management10.4018/IJISSCM.201707010310:3(44-64)Online publication date: 1-Jul-2017
    • (2017)Enabling effective workflow model reuseDecision Support Systems10.1016/j.dss.2016.09.00293:C(11-25)Online publication date: 1-Jan-2017
    • (2016)Reduction Rules for Colored Workflow NetsProceedings of the 19th International Conference on Fundamental Approaches to Software Engineering - Volume 963310.1007/978-3-662-49665-7_20(342-358)Online publication date: 2-Apr-2016
    • (2015)Introducing decision-aware business processesComputers in Industry10.1016/j.compind.2015.02.00370:C(13-22)Online publication date: 1-Jun-2015
    • (2013)Formal workflow design analytics using data flow modelingDecision Support Systems10.1016/j.dss.2013.01.02855:1(270-283)Online publication date: 1-Apr-2013
    • (2011)Workflow validation framework in distributed engineering environmentsProceedings of the 2011th Confederated international conference on On the move to meaningful internet systems10.5555/2075806.2075852(236-245)Online publication date: 17-Oct-2011
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