41587
2016
eng
36
38
1701
article
1
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Learning from quality issues of BPMN models from industry
Many organizations use business process models for documenting their business operations. In recent years, the Business Process Model and Notation (BPMN) evolved into the leading standard for process modeling. However, BPMN is complex: The specification offers a huge variety of different elements and often several representational choices for the same semantics. This raises the question of how well modelers can deal with these choices. Empirical insights into BPMN usage from the perspective of practitioners are still missing. We close this gap by analyzing a large set of BPMN 2.0 process models from practice. We found that particularly representational choices for splits and joins, the correct use of message flow, the proper decomposition of models, and the consistent labeling appear to be connected with quality issues. Based on our findings we give five recommendations how these issues can be avoided in the future. The work summarized in this extended abstract has been published in [LMG16].
CEUR Workshop Proceedings
extended abstract
1613-0073
https://www.scopus.com/record/display.uri?eid=2-s2.0-84996503810&origin=inward&txGid=98101b239363e3f806d7fadf22f788e2
online registration
Keine öffentliche Lizenz: Unter Urheberrechtsschutz
Oliver Günther
Henrik Leopold
Jan Mendling
eng
uncontrolled
BPMN modeling guidelines
eng
uncontrolled
Modeling recommendations
eng
uncontrolled
Process model quality
Wirtschaft
Wirtschaftswissenschaften
Universität Potsdam
41586
2016
2016
eng
26
33
4
33
article
Inst. of Electr. and Electronics Engineers
Los Alamitos
1
--
--
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Learning from quality issues of BPMN models from industry
Many organizations use business process models to document business operations and formalize business requirements in software-engineering projects. The Business Process Model and Notation (BPMN), a specification by the Object Management Group, has evolved into the leading standard for process modeling. One challenge is BPMN's complexity: it offers a huge variety of elements and often several representational choices for the same semantics. This raises the question of how well modelers can deal with these choices. Empirical insights into BPMN use from the practitioners' perspective are still missing. To close this gap, researchers analyzed 585 BPMN 2.0 process models from six companies. They found that split and join representations, message flow, the lack of proper model decomposition, and labeling related to quality issues. They give five specific recommendations on how to avoid these issues.
IEEE Software
10.1109/MS.2015.81
0740-7459
online registration
Keine öffentliche Lizenz: Unter Urheberrechtsschutz
Oliver Günther
Henrik Leopold
Jan Mendling
Wirtschaft
Wirtschaftswissenschaften
Universität Potsdam
45159
2016
2016
eng
26
33
8
33
article
Inst. of Electr. and Electronics Engineers
Los Alamitos
1
--
--
--
Learning from Quality Issues of BPMN Models from Industry
Many organizations use business process models to document business operations and formalize business requirements in software-engineering projects. The Business Process Model and Notation (BPMN), a specification by the Object Management Group, has evolved into the leading standard for process modeling. One challenge is BPMN's complexity: it offers a huge variety of elements and often several representational choices for the same semantics. This raises the question of how well modelers can deal with these choices. Empirical insights into BPMN use from the practitioners' perspective are still missing. To close this gap, researchers analyzed 585 BPMN 2.0 process models from six companies. They found that split and join representations, message flow, the lack of proper model decomposition, and labeling related to quality issues. They give five specific recommendations on how to avoid these issues.
IEEE software
10.1109/MS.2015.81
0740-7459
1937-4194
wos2016:2019
WOS:000383093400007
Leopold, H (reprint author), Vrije Univ Amsterdam, Dept Comp Sci, Amsterdam, Netherlands., h.leopold@vu.nl; jan.mendling@wu.ac.at; oliver.guenther@uni-potsdam.de
importub
2020-03-22T16:12:01+00:00
filename=package.tar
3542c5f9dbffc4e4331604b8b15d71b0
Henrik Leopold
Jan Mendling
Oliver Guenther
eng
uncontrolled
process model quality
eng
uncontrolled
modeling guidelines
eng
uncontrolled
Business Process Model and Notation
eng
uncontrolled
BPMN
eng
uncontrolled
industry study
eng
uncontrolled
software engineering
eng
uncontrolled
software development
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