2020-11-132020-11-132018Cabanillas Macías, C., Resinas Arias de Reyna, M. y Ruiz Cortés, A. (2018). A template-based approach for responsibility management in executable business processes. Enterprise Information Systems, 12 (5), 550-586.1751-7575https://hdl.handle.net/11441/102605Process-oriented organisations need to manage the different types of responsibilities their employees may have w.r.t. the activities involved in their business processes. Despite several approaches provide support for responsibility modelling, in current Business Process Management Systems (BPMS) the only responsibility considered at runtime is the one related to performing the work required for activity completion. Others like accountability or consultation must be implemented by manually adding activities in the executable process model, which is time-consuming and error-prone. In this paper, we address this limitation by enabling current BPMS to execute processes in which people with different responsibilities interact to complete the activities. We introduce a metamodel based on Responsibility Assignment Matrices (RAM) to model the responsibility assignment for each activity, and a flexible template-based mechanism that automatically transforms such information into BPMN elements, which can be interpreted and executed by a BPMS. Thus, our approach does not enforce any specific behaviour for the different responsibilities but new templates can be modelled to specify the interaction that best suits the activity requirements. Furthermore, libraries of templates can be created and reused in different processes. We provide a reference implementation and build a library of templates for a well-known set of responsibilities.application/pdf38engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Business Process ManagementBPMNRALResource assignment matrixResponsibility managementA template-based approach for responsibility management in executable business processesinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess10.1080/17517575.2017.1390166