Exploring the Modeling of Declarative Processes Using a Hybrid Approach

Amine Abbad Andaloussi, Jon Buch-Lorentsen, Hugo Andres Lopez, Tijs Slaats, Barbara Weber

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review


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.
Original languageEnglish
Title of host publicationConceptual Modeling : Conceptual Modeling. ER 2019.
Number of pages9
Place of PublicationSwitzerland
PublisherSpringer Nature
Publication date15 Oct 2019
ISBN (Print)978-3-030-33222-8
ISBN (Electronic)978-3-030-33223-5
Publication statusPublished - 15 Oct 2019
SeriesLecture Notes in Computer Science


  • Business Process Management
  • Declarative models
  • DCR graphs
  • Eye Tracking
  • Empirical Software Engineering
  • conceptual modelling


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