Forthcoming and Online First Articles

International Journal of Software Engineering, Technology and Applications

International Journal of Software Engineering, Technology and Applications (IJSETA)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Software Engineering, Technology and Applications (One paper in press)

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  • A systematic literature review on ontological analysis of business process models   Order a copy of this article
    by Sarah Ayad 
    Abstract: Business process modelling plays a critical role in organisational efficiency, yet semantic ambiguities in modelling languages often hinder its effectiveness. Ontological analysis offers a promising solution by clarifying domain concepts and enhancing the expressiveness and quality of business process models. This systematic literature review (SLR) investigates the integration of foundational ontologies into BPM to assess their impact on model clarity, interpretability, and overall quality. The study aims to: 1) evaluate the benefits of using foundational ontologies in BPM; 2) provide the first comprehensive SLR on ontological analysis in this domain. It addresses key research questions, including which ontologies are applied, which BPM concepts are emphasised, how ontologies reduce ambiguity, and what meta-model extensions are proposed. The review also explores preferred ontologies per BPM concept and notation, offering valuable insights into the ontological characterisation of BPM constructs.
    Keywords: business process modelling; BPM; ontological analysis; foundational ontologies; DOLCE; unified foundational ontology; UFO.
    DOI: 10.1504/IJSETA.2025.10071327
     

 

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