Time Prediction on Multi-perspective Declarative Business Processes

Andrés Jiménez-Ramírez*, Irene Barba, Juan Fernandez-Olivares, Carmelo Del Valle, Barbara Weber

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Process-aware information systems (PAISs) are increasingly used to provide flexible support for business processes. The support given through a PAIS is greatly enhanced when it is able to provide accurate time predictions which is typically a very challenging task. Predictions should be (1) multi-dimensional and (2) not based on a single process instance. Furthermore, the prediction system should be able to (3) adapt to changing circumstances, and (4) deal with multi-perspective declarative languages (e.g., models which consider time, resource, data and control flow perspectives). In this work, a novel approach for generating time predictions considering the aforementioned characteristics is proposed. For this, first, a multi-perspective constraint-based language is used to model the scenario. Thereafter, an optimized enactment plan (representing a potential execution alternative) is generated from such a model considering the current execution state of the process instances. Finally, predictions are performed by evaluating a desired function over this enactment plan. To evaluate the applicability of our approach in practical settings we apply it to a real process scenario. Despite the high complexity
of the considered problems, results indicate that our approach produces a satisfactory number of good predictions in a reasonable time.
Original languageEnglish
JournalKnowledge and Information Systems
Issue number3
Pages (from-to)655-684
Number of pages30
Publication statusPublished - 2018


  • Flexible process-aware information systems
  • Time prediction
  • Constraint programming
  • Planning and scheduling
  • Constraint-based process models
  • Decision Support Systems


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