Title: Towards a reusable business process modelling approach

Authors: Denis Silva Da Silveira; Eliane Maria Loiola; João Araújo; Ana Moreira; Pedro Fernandes

Addresses: Department of Administrative Sciences, Federal University of Pernambuco, 50740-580, Recife, Brazil ' Polytechnic School of Pernambuco, University of Pernambuco, 50720-001, Recife, Brazil ' NOVA LINCS, Faculdade de Ciência e Tecnologia. Universidade Nova de Lisboa, 2829-516 Caparica, Portugal ' NOVA LINCS, Faculdade de Ciência e Tecnologia. Universidade Nova de Lisboa, 2829-516 Caparica, Portugal ' NOVA LINCS, Faculdade de Ciência e Tecnologia. Universidade Nova de Lisboa, 2829-516 Caparica, Portugal

Abstract: Business processes reuse is key for more efficient business process models used during requirements elicitation. A configurable process model specifies multiple alternatives of a business process model, identifying variabilities and commonalities in a business domain. Reusable business processes models can be achieved through process patterns that must preserve semantics after model composition. Current approaches lack systematic and pattern-based mechanisms for the construction of a configurable process model. This paper defines an approach to build and configure a process-oriented feature model (POFM) aiming at representing a family of business process models by means of its reusable process modules. Modules may be concrete or abstract, and composed via mandatory, optional, alternative and multiple relationships. POFM captures a business process family, and the configuration process maintains the semantic properties of business process models.

Keywords: configurable process model; POFM; process-oriented feature model; feature model; business process family; process models reuse; process variability; process pattern; BPMN; business process management notation; business process modelling; business process composition.

DOI: 10.1504/IJBPIM.2020.117150

International Journal of Business Process Integration and Management, 2020 Vol.10 No.2, pp.104 - 114

Received: 29 Mar 2019
Accepted: 24 Dec 2019
Published online: 19 Aug 2021 *

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