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Mining Expressive and Executable Resource-Aware Imperative Process Models

Title data

Cabanillas, Cristina ; Schönig, Stefan ; Sturm, Christian ; Mendling, Jan:
Mining Expressive and Executable Resource-Aware Imperative Process Models.
In: Gulden, Jens (ed.): Enterprise, Business-Process and Information Systems Modeling. - Cham : Springer , 2018 . - pp. 3-18
ISBN 978-3-319-91704-7
DOI: https://doi.org/10.1007/978-3-319-91704-7_1

Abstract in another language

Process mining extracts relevant information on executed business processes from historical data stored in event logs. The data typically available include the activities executed, temporal information and the resources in charge of their execution. With such data, the functional, behavioural and organisational perspectives of a process can be discovered.
Many existing process mining approaches are capable of generating representations involving the first two perspectives with all types of processes. The extraction of simple and complex resource assignment rules has also been tackled with declarative process models. However, it is noticeable that despite imperative notations like BPMN are mostly used for process modelling nowadays, the existing process mining approaches for enriching such models with resource assignments %have limitations regarding expressiveness and semantics.
cannot discover rules like separation of duties and do not produce executable resource-aware process models.
In this paper we present an approach for mining resource-aware imperative process models that uses an expressive resource assignment language (RALph) with the de-facto standard notation BPMN. The organisational perspective of the resulting models can be automatically analysed thanks to the formal semantics of RALph. The method has been implemented and tested with a real use case.

Further data

Item Type: Article in a book
Refereed: Yes
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: 05 Apr 2018 11:02
Last Modified: 07 Aug 2018 05:24
URI: https://eref.uni-bayreuth.de/id/eprint/43214