When modellers have to describe a business process, they can decide to rely on one of the several notations currently available such as for instance BPMN or UML. However, it is not easy to select the most appropriate one. Indeed, even though in the literature several comparisons among notations have been proposed, often they focus on specific properties of the notations or on their constructs. On the contrary, the real concern of the modeller is to select the best modelling method, based on a notation they know for a specific modelling case. For this reasons, in this work we further raise the level of comparison by proposing an approach based on matching the features, required by the modelling case that the modeller has to face, with the ones supported by available modelling methods based on those notations. In this way the modeller can really select the best method (based on a modelling notation) according to the needs of the specific modelling case.

A Method-Wise Approach for Selecting the Most Suitable Business Process Modelling Notation

Reggio G.;Leotta M.
2019-01-01

Abstract

When modellers have to describe a business process, they can decide to rely on one of the several notations currently available such as for instance BPMN or UML. However, it is not easy to select the most appropriate one. Indeed, even though in the literature several comparisons among notations have been proposed, often they focus on specific properties of the notations or on their constructs. On the contrary, the real concern of the modeller is to select the best modelling method, based on a notation they know for a specific modelling case. For this reasons, in this work we further raise the level of comparison by proposing an approach based on matching the features, required by the modelling case that the modeller has to face, with the ones supported by available modelling methods based on those notations. In this way the modeller can really select the best method (based on a modelling notation) according to the needs of the specific modelling case.
2019
978-1-7281-3421-5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1014610
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