Dynamic Evaluation Forms using Declarative Modeling
- Rasmus Strømsted,
- Hugo-Andrés López-Acosta,
- ,
- Morten Marquard
- ,
- DCR Solutions
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-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 172-179 (7 pages)Publication milestones
- Published - 04/09/2018
Publication status
Published - 04/09/2018
Place of publication
Sydney, AustraliaPublisher
CEUR Workshop ProceedingsBook series
- Book series name: CEUR Workshop Proceedings
Volume: 2196
ISSN: 1613-0073
Publication IDs
- Scopus: 85053626872
Host publication title
16th International Conference on Business Process Management (BPM'18)Host publication editors
- Barbara Weber
- Wil M. P. van der Aalst
- Fabio Casati
- Rafaele Conforti
- Marlon Dumas
Abstract
The adoption of formal models by process specialists has faced
two challenges: First, it requires process specialists to get training in formal
modeling. Second, the resulting specifications bear little resemblance wrt.
the original descriptions. We introduce a tool that supports translations
between natural language descriptions and declarative process models.
The resulting models are given in a graphical formalism, DCR Graphs.
Traceability is at the core of the tool: Later changes in the process model
due to, e.g., ambiguity resolution are traced back into the text. This allows
users to either correct and complete their descriptions, or to derive models
more refined than the text. In this paper, we describe the mechanics of
the tool and provide examples of its use. Finally, we report on experiences
using the tool in a Danish Municipal government.
two challenges: First, it requires process specialists to get training in formal
modeling. Second, the resulting specifications bear little resemblance wrt.
the original descriptions. We introduce a tool that supports translations
between natural language descriptions and declarative process models.
The resulting models are given in a graphical formalism, DCR Graphs.
Traceability is at the core of the tool: Later changes in the process model
due to, e.g., ambiguity resolution are traced back into the text. This allows
users to either correct and complete their descriptions, or to derive models
more refined than the text. In this paper, we describe the mechanics of
the tool and provide examples of its use. Finally, we report on experiences
using the tool in a Danish Municipal government.
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