Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/32170
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dc.contributor.advisorMARTIN, Niels
dc.contributor.authorILYAS, Maryam
dc.date.accessioned2020-10-01T11:30:39Z-
dc.date.available2020-10-01T11:30:39Z-
dc.date.issued2020
dc.identifier.urihttp://hdl.handle.net/1942/32170-
dc.description.abstractWithin a business context, it is essential to communicate a process effectively and efficiently. A process can be visualised by a process model that represents the relations between the activities, executed by non-human or human resources. The literature provides a multitude of process modelling languages that can be divided into two categories (i.e. procedural and declarative languages). These polar categories either focus on the structured relations or unstructured relations within a process. Although the use of an individual modelling language is not sufficient to provide a comprehensible process model. To overcome this limitation, various hybrid languages are proposed. Most of the hybrid languages only focus on the control perspective of a process and neglect the resource-related relations. Within this context, the paper outlines the development of a resource-aware hybrid process modelling language. The research follows the principles of the Design Science approach to build and evaluate the artefact that solves a general problem. An empirical study is conducted to evaluate the artefact. The designed artefact, BPMND+R, is based on an existing hybrid modelling language which is extended to support the resource perspective of a process. BPMND+R is evaluated on its comprehensibility compared to BPMN and Declare, in a theoretical and empirical study.
dc.format.mimetypeApplication/pdf
dc.languagenl
dc.publisherUHasselt
dc.titleHybrid process modelling languages
dc.typeTheses and Dissertations
local.bibliographicCitation.jcatT2
dc.description.notesmaster handelsingenieur in de beleidsinformatica
local.type.specifiedMaster thesis
item.accessRightsOpen Access-
item.fullcitationILYAS, Maryam (2020) Hybrid process modelling languages.-
item.fulltextWith Fulltext-
item.contributorILYAS, Maryam-
Appears in Collections:Master theses
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