Process Mining and Performance Business Rules

Ella Roubtsova, Yoeri Berk

2022

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.

Paper Citation

in Harvard Style

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 - Volume 1: ENASE, ISBN 978-989-758-568-5, pages 387-394. DOI: 10.5220/0011056300003176

in Bibtex Style

@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 - Volume 1: ENASE,},
year={2022},
pages={387-394},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011056300003176},
isbn={978-989-758-568-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Process Mining and Performance Business Rules
SN - 978-989-758-568-5
AU - Roubtsova E.
AU - Berk Y.
PY - 2022
SP - 387
EP - 394
DO - 10.5220/0011056300003176