--- _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' ...