Requirements catalog for business process modeling recommender systems (extended abstract)

Autor(en): Fellmann, M.
Zarvic, N.
Metzger, D.
Koschmider, A.
Herausgeber: Mendling, J.
Rinderle-Ma, S.
Stichwörter: Business process model; Business process modeling; Empirical studies; Extended abstracts; Implementation strategies; Information systems; Process engineering; Process Modeling; Programming tools; Recommender systems; Requirements; Requirements, Recommender systems; Systems engineering, Auto completion
Erscheinungsdatum: 2016
Herausgeber: CEUR-WS
Journal: CEUR Workshop Proceedings
Volumen: 1701
Startseite: 44
Seitenende: 47
Zusammenfassung: 
The manual construction of business process models is a time-consuming and errorprone task. While recommendation systems are widely used and auto-completion functions are a standard feature of programming tools, such techniques are rarely applied in commercial BPM tools although implementation strategies have already been suggested. Therefore, this paper collects requirements from different perspectives (literature and empirical studies) of how to effectively and efficiently assist process modelers in their modeling task. The condensation of requirements leads to a catalog, which provides a solid foundation to implement Process Modeling Recommender Systems (PMRSs). The contents in this paper represent a shortened version of the full paper. The original work summarized in this extended abstract has been published in [Fe15].
Beschreibung: 
Conference of 7th International Workshop on Enterprise Modeling and Information Systems Architectures: Fachgruppentreffen der GI-Fachgruppe Entwicklungsmethoden fur Informationssysteme und deren Anwendung, EMISA 2016 - 7th International Workshop on Enterprise Modeling and Information Systems Architectures: Professional Group Meeting of the GI Special Interest Group on Development Methods for Information Systems and their Application, EMISA 2016 ; Conference Date: 3 October 2016 Through 4 October 2016; Conference Code:124586
ISSN: 16130073
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84996477164&partnerID=40&md5=ca91818a511ae92ad6d8ce2ec1aeafb0

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