Process mining approach to formal business process modelling and verification: a case study. (31st August 2020)
- Record Type:
- Journal Article
- Title:
- Process mining approach to formal business process modelling and verification: a case study. (31st August 2020)
- Main Title:
- Process mining approach to formal business process modelling and verification: a case study
- Authors:
- Ito, Sohei
Vymětal, Dominik
Šperka, Roman - Abstract:
- Abstract : Purpose: The need for assuring correctness of business processes in enterprises is widely recognised in terms of business process re-engineering and improvement. Formal methods are a promising approach to this issue. The challenge in business process verification is to create a formal model that is well-aligned to the reality. Process mining is a well-known technique to discover a model of a process based on facts. However, no studies exist that apply it to formal verification. This study aims to propose a methodology for formal business process verification by means of process mining, and attempts to clarify the challenges and necessary technologies in this approach using a case study. Design/methodology/approach: A trading company simulation model is used as a case study. A workflow model is discovered from an event log produced by a simulation tool and manually complemented to a formal model. Correctness requirements of both domain-dependent and domain-independent types of the model are checked by means of model-checking. Findings: For business process verification with both domain-dependent and domain-independent correctness requirements, more advanced process mining techniques that discover data-related aspects of processes are desirable. The choice of a formal modelling language is also crucial. It depends on the correctness requirements and the characteristics of the business process. Originality/value: Formal verification of business processes startingAbstract : Purpose: The need for assuring correctness of business processes in enterprises is widely recognised in terms of business process re-engineering and improvement. Formal methods are a promising approach to this issue. The challenge in business process verification is to create a formal model that is well-aligned to the reality. Process mining is a well-known technique to discover a model of a process based on facts. However, no studies exist that apply it to formal verification. This study aims to propose a methodology for formal business process verification by means of process mining, and attempts to clarify the challenges and necessary technologies in this approach using a case study. Design/methodology/approach: A trading company simulation model is used as a case study. A workflow model is discovered from an event log produced by a simulation tool and manually complemented to a formal model. Correctness requirements of both domain-dependent and domain-independent types of the model are checked by means of model-checking. Findings: For business process verification with both domain-dependent and domain-independent correctness requirements, more advanced process mining techniques that discover data-related aspects of processes are desirable. The choice of a formal modelling language is also crucial. It depends on the correctness requirements and the characteristics of the business process. Originality/value: Formal verification of business processes starting with creating its formal model is quite new. Furthermore, domain-dependent and domain-independent correctness properties are considered in the same framework, which is also new. This study revealed necessary technologies for this approach with process mining. … (more)
- Is Part Of:
- Journal of modelling in management. Volume 16:Number 2(2021)
- Journal:
- Journal of modelling in management
- Issue:
- Volume 16:Number 2(2021)
- Issue Display:
- Volume 16, Issue 2 (2021)
- Year:
- 2021
- Volume:
- 16
- Issue:
- 2
- Issue Sort Value:
- 2021-0016-0002-0000
- Page Start:
- 602
- Page End:
- 622
- Publication Date:
- 2020-08-31
- Subjects:
- Modelling -- Computing -- Business process modelling -- Formal method -- Process mining -- Timed automaton
Industrial management -- Mathematical models -- Periodicals
Industrial management -- Computer simulation -- Periodicals
Business -- Mathematical models -- Periodicals
Business -- Computer simulation -- Periodicals
658.4033 - Journal URLs:
- http://firstsearch.oclc.org ↗
http://rave.ohiolink.edu/ejournals/issn/17465664/ ↗
http://www.emeraldinsight.com/info/journals/jm2/jm2.jsp ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/JM2-03-2020-0077 ↗
- Languages:
- English
- ISSNs:
- 1746-5664
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5020.575500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22666.xml