Open Access

ARTICLE

Integrating a Decision Tree Perspective at the Operational-Level of BPM+

by Ahmad Alomari, Alain April, Carlos Monsalve, Amjad Gawanmeh

1 Software Engineering Research Laboratory, Ecole de technologie superieure (ETS) 1100 rue Notre-Dame Ouest, Montreal, Quebec, Canada. E-mail: alain.april@etsmtl.ca
2 Escuela Superior Politecnica del Litoral (ESPOL), Facultad de Ingenierea en Electricidad y Computacion Km. 30.5 via Perimetral, Guayaquil, Ecuador. E-mail: monsalve@fiec.espol.edu.ec
3 Department of Electrical and Computer Engineering, Khalifa University, UAE. and Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada. E-mail: amjad.gawanmeh@kustar.ac.ae

* Corresponding Author: E-mail:

Computer Systems Science and Engineering 2018, 33(3), 219-227. https://doi.org/10.32604/csse.2018.33.219

Abstract

Decision trees are among the best-known decision-making techniques and have been used extensively for both data analysis and predictive modeling. BPM+ is a novel process modeling approach that helps represent business process models in a consistent and structured way to meet different stakeholders’ process representation needs. This paper reports on the outcomes of an ontological analysis of the potential use of decision-tree representations as a new BPM+ perspective for the operational level of abstraction. This new perspective effectively demonstrates how a specialized/operational BPM stakeholder perspective can be used to improve the existing organizational business process model repository.

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