---
_id: '34023'
abstract:
- lang: eng
text: Decision makers increasingly rely on decision support systems for optimal
decision making. Recently, special attention has been paid to process-driven decision
support systems (PD-DSS) in which a process model prescribes the invocation sequence
of software-based decision support services and the data exchange between them.
Thus, it is possible to quickly combine available decision support services as
needed for optimally supporting the decision making process of an individual decision
maker. However, process modelers may accidentally create a process model which
is technically well-formed and executable, but contains functional and behavioral
flaws such as redundant or missing services. These flaws may result in inefficient
computations or invalid decision recommendations when the corresponding PD-DSS
is utilized by a decision maker. In this paper, we therefore propose an approach
to validate functionality and behavior of a process model representing a PD-DSS.
Our approach is based on expressing flaws as anti-patterns for which the process
model can be automatically checked via graph matching. We prototypically implemented
our approach and demonstrate its applicability in the context of decision making
for energy network planning.
author:
- first_name: Jonas
full_name: Kirchhoff, Jonas
id: '39928'
last_name: Kirchhoff
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Kirchhoff J, Engels G. Anti-pattern Detection in Process-Driven Decision Support
Systems. In: Software Business. Vol 463. Lecture Notes in Business Information
Processing. Springer International Publishing; 2022:227--243. doi:10.1007/978-3-031-20706-8_16'
apa: Kirchhoff, J., & Engels, G. (2022). Anti-pattern Detection in Process-Driven
Decision Support Systems. In Software Business (Vol. 463, pp. 227--243).
Springer International Publishing. https://doi.org/10.1007/978-3-031-20706-8_16
bibtex: '@inbook{Kirchhoff_Engels_2022, place={Cham}, series={Lecture Notes in Business
Information Processing}, title={Anti-pattern Detection in Process-Driven Decision
Support Systems}, volume={463}, DOI={10.1007/978-3-031-20706-8_16},
booktitle={Software Business}, publisher={Springer International Publishing},
author={Kirchhoff, Jonas and Engels, Gregor}, year={2022}, pages={227--243}, collection={Lecture
Notes in Business Information Processing} }'
chicago: 'Kirchhoff, Jonas, and Gregor Engels. “Anti-Pattern Detection in Process-Driven
Decision Support Systems.” In Software Business, 463:227--243. Lecture
Notes in Business Information Processing. Cham: Springer International Publishing,
2022. https://doi.org/10.1007/978-3-031-20706-8_16.'
ieee: 'J. Kirchhoff and G. Engels, “Anti-pattern Detection in Process-Driven Decision
Support Systems,” in Software Business, vol. 463, Cham: Springer International
Publishing, 2022, pp. 227--243.'
mla: Kirchhoff, Jonas, and Gregor Engels. “Anti-Pattern Detection in Process-Driven
Decision Support Systems.” Software Business, vol. 463, Springer International
Publishing, 2022, pp. 227--243, doi:10.1007/978-3-031-20706-8_16.
short: 'J. Kirchhoff, G. Engels, in: Software Business, Springer International Publishing,
Cham, 2022, pp. 227--243.'
date_created: 2022-11-07T10:51:24Z
date_updated: 2022-11-07T10:54:30Z
department:
- _id: '534'
- _id: '66'
doi: 10.1007/978-3-031-20706-8_16
intvolume: ' 463'
language:
- iso: eng
page: 227--243
place: Cham
publication: Software Business
publication_identifier:
isbn:
- '9783031207051'
- '9783031207068'
issn:
- 1865-1348
- 1865-1356
publication_status: published
publisher: Springer International Publishing
series_title: Lecture Notes in Business Information Processing
status: public
title: Anti-pattern Detection in Process-Driven Decision Support Systems
type: book_chapter
user_id: '39928'
volume: 463
year: '2022'
...