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  4. Exploring the Understandability of a Hybrid Process Design Artifact Based on DCR Graphs
 
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Exploring the Understandability of a Hybrid Process Design Artifact Based on DCR Graphs

Journal
Proc. International Conference on Business Process Modeling, Development and Support International Conference on Evaluation and Modeling Methods for Systems Analysis and Development
ISBN
978-3-030-20617-8
Type
conference paper
Date Issued
2019
Author(s)
Abbad Andaloussi, Amine
Burattin, Andrea
Slaats, Tijs
Petersen, Anette
Hildebrandt, Thomas
Weber, Barbara  
DOI
10.1007/978-3-030-20618-5_5
Abstract (De)
Process design artifacts (e.g., process models, textual process descriptions and simulations) are increasingly used to provide input for requirements elicitation and to facilitate the design of business processes. To support the understandability of process models and make them accessible for end-users with different backgrounds, several hybrid representations combining different design artifacts have been proposed in the literature. This paper investigates the understandability of DCR-HR, a new hybrid process design artifact based on DCR graphs. Using eye-tracking and think-aloud techniques, this paper explores the benefits and challenges associated with the use of different design artifacts and investigates the way end-users engage with them. The results motivate the use of DCR-HR and provide insights about the support it provides to end-users with different backgrounds.
Language
English
HSG Classification
contribution to scientific community
Book title
International Conference on Business Process Modeling, Development and Support International Conference on Evaluation and Modeling Methods for Systems Analysis and Development
Publisher
Springer
Volume
Lecture Notes in Business Information Processing, Vol. 352
Start page
69
End page
84
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/99049
Subject(s)

computer science

Division(s)

ICS - Institute of Co...

SCS - School of Compu...

Contact Email Address
barbara.weber@unisg.ch
Eprints ID
257233
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Format

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