Time prediction on multi-perspective declarative business processes.
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| Title: | Time prediction on multi-perspective declarative business processes. |
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| Authors: | Jimenez-Ramirez, Andres1 ajramirez@us.es, Barba, Irene1, Fernandez-Olivares, Juan2, Del Valle, Carmelo1, Weber, Barbara3 |
| Source: | Knowledge & Information Systems. Dec2018, Vol. 57 Issue 3, p655-684. 30p. |
| Subjects: | Information storage & retrieval systems, Declarative programming languages, Constraint programming, Prediction theory, Decision support systems |
| Abstract: | 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. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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