A language oriented extension to Toulmin's argumentation model for conceptual modelling

BITTMANN, Sebastian, BARN, Balbir and CLARK, Tony (2014). A language oriented extension to Toulmin's argumentation model for conceptual modelling. In: ESCALONA, Maria Jose, ARAGON, Gustavo, LINGER, Henry, LANG, Michael, BARRY, Chris and SCHNEIDER, Christoph, (eds.) Information system development : improving enterprise communication. Cham, Springer International Publishing, 359-369.

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Official URL: http://link.springer.com/chapter/10.1007/978-3-319...
Link to published version:: https://doi.org/10.1007/978-3-319-07215-9_29
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    The constructive step of modelling must account for the specific requirements of various stakeholders. Further, the quality of a model in terms of goodness-of-fit, completeness or other aspects may vary, because of future, as yet unknown, requirements. Natural language underpins the process of modelling as it is the predominant form through which models are acquired, negotiated and agreed. Whilst a model defines system requirements, it does not capture the assumptions, discussions and negotiations that led to the requirements. The ability to access this information, which is lost by most development processes, may significantly improve the utility of models with respect to changing requirements and system maintenance. This paper proposes a form of ‘literate modelling’ that can be used to capture the steps in model development and is based on Toulmin’s Argumentation model. The paper contributes the design of an argumentation modelling language and a set of rules for integrating multiple languages (or domains) with the Toulmin approach. The language and approach is applied to the domain of business process modelling. Keywords Conceptual modelling – Meta-model – Toulmin’s argumentation model – Argumentation

    Item Type: Book Section
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
    Identification Number: https://doi.org/10.1007/978-3-319-07215-9_29
    Page Range: 359-369
    Depositing User: Tony Clark
    Date Deposited: 15 Jun 2016 15:53
    Last Modified: 18 Mar 2021 18:15
    URI: https://shura.shu.ac.uk/id/eprint/12065

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