Toward uBPMN-Based Patterns for Modeling Ubiquitous Business Processes
Autor: | Marcin Hewelt, Alaaeddine Yousfi, Christine Bauer, Mathias Weske |
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Rok vydání: | 2018 |
Předmět: |
Ubiquitous computing
Business process Computer science Hasso-Plattner-Institut für Digital Engineering GmbH 020207 software engineering 02 engineering and technology Business process modeling Data science Field (computer science) Computer Science Applications Control and Systems Engineering Software deployment 020204 information systems Informatics ddc:000 0202 electrical engineering electronic engineering information engineering Augmented reality Electrical and Electronic Engineering Information Systems |
Zdroj: | IEEE Transactions on Industrial Informatics. 14:3358-3367 |
ISSN: | 1941-0050 1551-3203 |
DOI: | 10.1109/tii.2017.2777847 |
Popis: | Ubiquitous business processes are the new generation of processes that pervade the physical space and interact with their environments using a minimum of human involvement. Although they are now widely deployed in the industry, their deployment is still ad hoc . They are implemented after an arbitrary modeling phase or no modeling phase at all. The absence of a solid modeling phase backing up the implementation generates many loopholes that are stressed in the literature. Here, we tackle the issue of modeling ubiquitous business processes. We propose patterns to represent the recent ubiquitous computing features. These patterns are the outcome of an analysis we conducted in the field of human–computer interaction to examine how the features are actually deployed. The patterns’ understandability, ease-of-use, usefulness, and completeness are examined via a user experiment. The results indicate that these four indexes are on the positive track. Hence, the patterns may be the backbone of ubiquitous business process modeling in industrial applications. |
Databáze: | OpenAIRE |
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