Business process modelling languages typically enable the representation of business process models by employing (graphical) symbols. These symbols can vary depending upon the verbosity of the language, the modelling paradigm, the focus of the language and so on. To make explicit different constructs and rules employed by a specific language, as well as bridge the gap across different languages, meta-models have been proposed in the literature. These meta-models are a crucial source of knowledge on what state-of-the-art literature considers relevant to describe business processes. The goal of this work is to provide the first extensive systematic literature review (SLR) of business process meta-models. This SLR aims to answer research questions concerning: (1) the kind of meta-models proposed in the literature, (2) the recurring constructs they contain, (3) their purposes and (4) their evaluations. The SRL was performed manually considering papers automatically retrieved from reference paper repositories as well as proceedings of the main conferences in the Business Process Management research area. Sixty-five papers were selected and evaluated against four research questions. The results indicate the existence of a reasonable body of work conducted in this specific area, but not a full maturity. In particular, in answering the research questions several challenges have (re-)emerged for the Business Process Community, concerning: (1) the type of elements that constitute a Business Process and their meaning, (2) the absence of a (or several) reference meta-model(s) for the community, (3) the purpose for which meta-models are introduced in the literature and (4) a framework for the evaluation of the meta-models themselves. Moreover, the classification framework devised to answer the four research questions can provide a reference structure for future descriptive categorizations.

What is a process model composed of? A systematic literature review of meta-models in BPM

Adamo, Greta;Ghidini, Chiara;Di Francescomarino, Chiara
2021

Abstract

Business process modelling languages typically enable the representation of business process models by employing (graphical) symbols. These symbols can vary depending upon the verbosity of the language, the modelling paradigm, the focus of the language and so on. To make explicit different constructs and rules employed by a specific language, as well as bridge the gap across different languages, meta-models have been proposed in the literature. These meta-models are a crucial source of knowledge on what state-of-the-art literature considers relevant to describe business processes. The goal of this work is to provide the first extensive systematic literature review (SLR) of business process meta-models. This SLR aims to answer research questions concerning: (1) the kind of meta-models proposed in the literature, (2) the recurring constructs they contain, (3) their purposes and (4) their evaluations. The SRL was performed manually considering papers automatically retrieved from reference paper repositories as well as proceedings of the main conferences in the Business Process Management research area. Sixty-five papers were selected and evaluated against four research questions. The results indicate the existence of a reasonable body of work conducted in this specific area, but not a full maturity. In particular, in answering the research questions several challenges have (re-)emerged for the Business Process Community, concerning: (1) the type of elements that constitute a Business Process and their meaning, (2) the absence of a (or several) reference meta-model(s) for the community, (3) the purpose for which meta-models are introduced in the literature and (4) a framework for the evaluation of the meta-models themselves. Moreover, the classification framework devised to answer the four research questions can provide a reference structure for future descriptive categorizations.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11582/325026
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