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Towards a Common Understanding of Business Process Instance Data

Topics: Business Process Modeling; Constraint Modeling and Languages; Domain-Specific Modeling; Meta-Modeling: Foundations and Tools; Model-Driven Architecture; Software Process Modeling, Enactment and Execution; Syntax and Semantics of Modeling Languages; Workflow Management Systems

Authors: Nima Moghadam and Hye-young Paik

Affiliation: University of New South Wales, Australia

ISBN: 978-989-758-168-7

ISSN: 2184-4348

Keyword(s): Business Process Management, Process Instances Data, Data Models, Interoperability, BPMS Architectures.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business and Social Applications ; Business Process Management ; Constraint Modeling and Languages ; Domain-Specific Modeling and Domain-Specific Languages ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Languages, Tools and Architectures ; MetaModeling ; Methodologies, Processes and Platforms ; Model-Driven Architecture ; Model-Driven Software Development ; Models ; Paradigm Trends ; Society, e-Business and e-Government ; Software Engineering ; Software Process Modeling, Enactment and Execution ; Symbolic Systems ; Syntax and Semantics of Modeling Languages ; Web Information Systems and Technologies ; Workflow Management Systems

Abstract: In an organisation several Business Process Management System (BPMS) products can co-exist and work alongside each other. Each one of these BPM tools has its own definition of process instances, creating a heterogeneous environment. This reduces interoperability between business process management systems and increases the effort involved in analysing the data. In this paper, we propose a common model for business process instances, named Business Process Instance Model (BPIM), which provides a holistic view of business process instances generated from multiple systems. BPIM consists of visual notations and their metadata schema. It captures three dimensions of process instances: process execution paths, instance data provenance and meta-data. BPIM aims to provide an abstract layer between the process instance repository and BPM engines, leading to common understanding of business process instances.

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Paper citation in several formats:
Moghadam, N. and Paik, H. (2016). Towards a Common Understanding of Business Process Instance Data.In Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-168-7, ISSN 2184-4348, pages 193-200. DOI: 10.5220/0005678401930200

@conference{modelsward16,
author={Nima Moghadam. and Hye{-}young Paik.},
title={Towards a Common Understanding of Business Process Instance Data},
booktitle={Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2016},
pages={193-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005678401930200},
isbn={978-989-758-168-7},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - Towards a Common Understanding of Business Process Instance Data
SN - 978-989-758-168-7
AU - Moghadam, N.
AU - Paik, H.
PY - 2016
SP - 193
EP - 200
DO - 10.5220/0005678401930200

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