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Mining the organisational perspective in agile business processes

Title data

Schönig, Stefan ; Cabanillas, Cristina ; Jablonski, Stefan ; Mendling, Jan:
Mining the organisational perspective in agile business processes.
In: Galool, Khaled ; Schmidt, Rainer ; Nurcan, Selmin (ed.): Enterprise, Business-Process and Information Systems Modeling : 16th International Conference, BPMDS 2015, 20th International Conference, EMMSAD 2015, Held at CAiSE 2015, Stockholm, Sweden, June 8-9, 2015, Proceedings. - Cham : Springer , 2015 . - pp. 37-52 . - (Lecture Notes in Business Information Processing ; 214 )
ISBN 978-3-319-19237-6
DOI: https://doi.org/10.1007/978-3-319-19237-6_3

Official URL: Volltext

Abstract in another language

Agile processes depend on human resources, decisions and expert knowledge, and they are especially versatile and comprise rather complex scenarios. Declarative, i.e., rule-based, process models are well-suited for modelling these processes. Although there are several mining techniques to discover such declarative process models from event logs, they put less emphasis on the organisational perspective, which specifies how resources are involved in the activities. As a consequence, the resulting models do not specify who should execute which task and with which constraint (like separation of duties) in mind. In this paper, we propose a process mining approach to discover resource-aware, declarative process models. Our specific contribution is the extraction of complex rules for resource assignment that integrate the control-flow and organisational perspectives. Our experiments demonstrate the expressiveness of the mined rules with a reference to the Workflow Resource Patterns and a real-world use case.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Declarative process mining; Organisational perspective; Resource perspective; Event log analysis
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV > Chair Applied Computer Science IV - Univ.-Prof. Dr.-Ing. Stefan Jablonski
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 17 Oct 2017 09:17
Last Modified: 02 Nov 2022 13:51
URI: https://eref.uni-bayreuth.de/id/eprint/34097