Anti-pattern Detection in Process-Driven Decision Support Systems

J. Kirchhoff, G. Engels, in: Software Business, Springer International Publishing, Cham, 2022, pp. 227--243.

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Book Chapter | Published | English
Abstract
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.
Publishing Year
Book Title
Software Business
Series Title / Volume
Lecture Notes in Business Information Processing
Volume
463
Page
227--243
LibreCat-ID

Cite this

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
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
@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} }
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.
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.
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.

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