A Landscape for Case Models

  • Case Management is a paradigm to support knowledge-intensive processes. The different approaches developed for modeling these types of processes tend to result in scattered models due to the low abstraction level at which the inherently complex processes are therein represented. Thus, readability and understandability is more challenging than that of traditional process models. By reviewing existing proposals in the field of process overviews and case models, this paper extends a case modeling language - the fragment-based Case Management (fCM) language - with the goal of modeling knowledge-intensive processes from a higher abstraction level - to generate a so-called fCM landscape. This proposal is empirically evaluated via an online experiment. Results indicate that interpreting an fCM landscape might be more effective and efficient than interpreting an informationally equivalent case model.

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Metadaten
Author details:Fernanda Gonzalez-Lopez, Luise PufahlORCiDGND
DOI:https://doi.org/10.1007/978-3-030-20618-5_6
ISBN:978-3-030-20618-5
ISBN:978-3-030-20617-8
ISSN:1865-1348
Title of parent work (English):Enterprise, Business-Process and Information Systems Modeling
Publisher:Springer
Place of publishing:Berlin
Publication type:Other
Language:English
Date of first publication:2019/05/10
Completion year:2019
Release date:2021/05/03
Tag:Case Management; Process architecture; Process landscape; Process map; Process model
Volume:352
Page number:16
First page:87
Last Page:102
Organizational units:Digital Engineering Fakultät / Hasso-Plattner-Institut für Digital Engineering GmbH
DDC classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke
Peer review:Referiert