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Authors: Ella Roubtsova and Yoeri Berk

Affiliation: Open University of the Netherlands, Department of Information Science, Heerlen, The Netherlands

Keyword(s): Process Mining, Performance Business Rules, Interview, Methodology, Application Process of an Employment Agency.

Abstract: Process mining uses event logs to build a business process model, which potentially can be used to better understand the business process performance. However, the understanding of performance almost always demands definitions in form of performance business rules within the business process. This means that process mining should be accompanied with another research method to retrieve the performance business rules of the studied business process. This paper presents an approach showing how the process mining techniques shape the structure of the semi-structured interviews for retrieving performance business rules to be checked on the logged business process. The proposed approach is illustrated with a case study of process mining and performance assessment of an application process in an employment agency.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Roubtsova, E. and Berk, Y. (2022). Process Mining and Performance Business Rules. 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 387-394. DOI: 10.5220/0011056300003176

@conference{enase22,
author={Ella Roubtsova. and Yoeri Berk.},
title={Process Mining and Performance Business Rules},
booktitle={Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE},
year={2022},
pages={387-394},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011056300003176},
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 and Performance Business Rules
SN - 978-989-758-568-5
IS - 2184-4895
AU - Roubtsova, E.
AU - Berk, Y.
PY - 2022
SP - 387
EP - 394
DO - 10.5220/0011056300003176
PB - SciTePress

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