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Software Resource Recommendation for Process Execution Based on the Organization’s Profile

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Database and Expert Systems Applications (DEXA 2019)

Abstract

Lack of information on the infrastructure resources needed to execute business processes may interfere with the execution flow of the BPM lifecycle phases. If an organization recognizes that it does not have the resources needed to execute a process as planned, it might have to redesign the process. This paper presents an approach to recommending the infrastructure resources needed to execute a process. The recommendation relies on the task labels of the process model and comprises two phases: resource type classification and resource recommendation.

The approach contributes to the redesign phase as it provides the process analyst with information on the resources needed to execute the process. It also supports decision-making process before the implementation phase regarding, for example, remodeling, project cancellation, resource procurement etc. The developed approach was validated based on a set of real processes of a public university through a cross-fold validation that reached 83% of accuracy.

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Acknowledgments

Lucinéia Heloisa Thom is a CAPES scholarship holder, Program Professor Visitante no Exterior, grant 88881.172071/2018-01; José Palazzo Moreira de Oliveira receive support from CNPq by grants 301425/2018-3 and 400954/2016-8; Carlos Habekost dos Santos and Larissa Narumi Takeda are scholarship holders from CNPq; Marcelo Fantinato is funded by FAPESP, grant 2017/26491-1; this study was financed in part by the CAPES - Brazil - Finance Code 001.

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Biazus, M. et al. (2019). Software Resource Recommendation for Process Execution Based on the Organization’s Profile. In: Hartmann, S., Küng, J., Chakravarthy, S., Anderst-Kotsis, G., Tjoa, A., Khalil, I. (eds) Database and Expert Systems Applications. DEXA 2019. Lecture Notes in Computer Science(), vol 11707. Springer, Cham. https://doi.org/10.1007/978-3-030-27618-8_9

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  • DOI: https://doi.org/10.1007/978-3-030-27618-8_9

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