Abstract
Configurable process models are gaining a great importance for the design and development of reusable business processes. As these processes tend to be very complex, their configuration becomes a difficult task. Therefore, many approaches propose to build decision support systems to assist users selecting desirable configuration choices. Nevertheless, these systems are to a large extent manually created by domain experts, which is a time-consuming and tedious task. In addition, relying solely on the expert knowledge is not only error-prone, but also challengeable. In this paper, we propose to learn from past experience in process configuration in order to automatically extract a configuration guidance model. Instead of starting from scratch, a configuration guidance model assists analysts creating business-driven support systems.
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Assy, N., Gaaloul, W. (2015). Extracting Configuration Guidance Models from Business Process Repositories. In: Motahari-Nezhad, H., Recker, J., Weidlich, M. (eds) Business Process Management. BPM 2016. Lecture Notes in Computer Science(), vol 9253. Springer, Cham. https://doi.org/10.1007/978-3-319-23063-4_14
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DOI: https://doi.org/10.1007/978-3-319-23063-4_14
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