Exploring the Modeling of Declarative Processes Using a Hybrid Approach
- Amine Abbad Andaloussi,
- Jon Buch-Lorentsen,
- Hugo Andres Lopez,
- Tijs Slaats,
- Barbara Weber
- Technical University of Denmark,
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewHost publication Subtitle
Conceptual Modeling. ER 2019.Original language
EnglishPages from-to (Number of pages)
Pages 162-170 (9 pages)Publication milestones
- Published - 15/10/2019
Publication status
Published - 15/10/2019
Place of publication
SwitzerlandVolume
11788Publisher
Springer, United States, GermanyBook series
- Book series name: Lecture Notes in Computer Science
Volume: 11788
ISSN: 0302-9743
ISBN (Print)
978-3-030-33222-8ISBN (Electronic)
978-3-030-33223-5Publication IDs
- Scopus: 85076129556
Host publication title
Conceptual ModelingAbstract
Process modeling aims at providing an external representation of a business process in the shape of a process model. The complexity of the modeling language, the usability of the modeling tool, and
the expertise of the modeler are among the key factors defining the difficulty of a modeling task. Following a qualitative analysis approach, this
work explores a hybrid modeling technique enhanced with a tool (i.e.,
the Highlighter) to guide the transition from informal text-based process descriptions to formal declarative process models. The exploratory
results suggest that this technique provides cognitive support to modelers and hint towards an enhanced quality of process models in terms of
alignment, traceability of process requirements and availability of documentation. The outcome of this work shows a clear opportunity for
future work and provides a framework for further empirical studies.
the expertise of the modeler are among the key factors defining the difficulty of a modeling task. Following a qualitative analysis approach, this
work explores a hybrid modeling technique enhanced with a tool (i.e.,
the Highlighter) to guide the transition from informal text-based process descriptions to formal declarative process models. The exploratory
results suggest that this technique provides cognitive support to modelers and hint towards an enhanced quality of process models in terms of
alignment, traceability of process requirements and availability of documentation. The outcome of this work shows a clear opportunity for
future work and provides a framework for further empirical studies.
Publication metrics
PlumX, opens in new tab
Citations
18
Captures
12
Access to documents
Submitted manuscript, 1.14 MB
