Artículo
Time prediction on multi-perspective declarative business processes
Autor/es | Jiménez Ramírez, Andrés
Barba Rodríguez, Irene Fernández Olivares, Juan Valle Sevillano, Carmelo del Weber, Barbara |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2018 |
Fecha de depósito | 2020-03-10 |
Publicado en |
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Resumen | 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 ... 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, pre-dictions 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. |
Agencias financiadoras | Ministerio de Economía y Competitividad (MINECO). España |
Identificador del proyecto | TIN2016-76956-C3-2-R
TIN2015-71618-R |
Cita | Jiménez Ramírez, A., Barba Rodríguez, I., Fernández Olivares, J., Valle Sevillano, C.d. y Weber, B. (2018). Time prediction on multi-perspective declarative business processes. knowledge and Information systems, 57 (3), 655-684. |
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