The Process Highlighter: From Texts to Declarative Processes and Back
Research output: Contribution to journal › Conference article › Research › peer-review
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The Process Highlighter: From Texts to Declarative Processes and Back. / López-Acosta, Hugo-Andrés; Hildebrandt, Thomas; Debois, Søren; Marquard, Morten.
In: CEUR Workshop Proceedings, 2018, p. 66-70.Research output: Contribution to journal › Conference article › Research › peer-review
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TY - GEN
T1 - The Process Highlighter: From Texts to Declarative Processes and Back
AU - López-Acosta, Hugo-Andrés
AU - Hildebrandt, Thomas
AU - Debois, Søren
AU - Marquard, Morten
N1 - Joint Proceedings of the BIR 2018 Short Papers, Workshops and Doctoral Consortium co-located with 17th International Conference Perspectives in Business Informatics Research (BIR 2018)
PY - 2018
Y1 - 2018
N2 - 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, eg, 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.
AB - 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, eg, 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.
M3 - Conference article
SP - 66
EP - 70
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
ER -
ID: 227990464