Towards a Common Understanding of Business Process Instance Data
Nima Moghadam, Hye-young Paik
2016
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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in Harvard Style
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, pages 193-200. DOI: 10.5220/0005678401930200
in Bibtex Style
@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},
}
in EndNote Style
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