loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Minh Khoi Nguyen ; Hanh Nhi Tran and Ileana Ober

Affiliation: Institut de Recherche en Informatique de Toulouse, Toulouse, France

Keyword(s): Process Mining, Artifact-centric Process Modeling, Data-driven Process Engine.

Abstract: Process analysis to improve performance and detect anomalies is important for process management. However, such an analysis requires a global process model that is sometimes hard to get, especially for complex processes involving various teams. This is also an obstacle for BAPE (Bottom-up Artifact-centric Process Environment), an artifact-centric process management environment that allows splitting a process into several fragments which are separately modeled and enacted by different actors. Thus, the knowledge about the whole process is distributed over the involved teams and an overview on the complete process is missing. This paper presents the integration of process mining into BAPE in order to construct the overall process model from the execution data of process fragments.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.137.219.68

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Nguyen, M.; Tran, H. and Ober, I. (2022). Process Mining to Discover the Global Process from its Fragments’ Executions. In Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE; ISBN 978-989-758-568-5; ISSN 2184-4895, SciTePress, pages 363-370. DOI: 10.5220/0011044800003176

@conference{enase22,
author={Minh Khoi Nguyen. and Hanh Nhi Tran. and Ileana Ober.},
title={Process Mining to Discover the Global Process from its Fragments’ Executions},
booktitle={Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE},
year={2022},
pages={363-370},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011044800003176},
isbn={978-989-758-568-5},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE
TI - Process Mining to Discover the Global Process from its Fragments’ Executions
SN - 978-989-758-568-5
IS - 2184-4895
AU - Nguyen, M.
AU - Tran, H.
AU - Ober, I.
PY - 2022
SP - 363
EP - 370
DO - 10.5220/0011044800003176
PB - SciTePress