An Ontological Model of an Information System
IEEE Transactions on Software Engineering
Telos: representing knowledge about information systems
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Understanding Quality in Conceptual Modeling
IEEE Software
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Domain-specific languages: an annotated bibliography
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Developing a meta model for the Bunge---Wand---Weber ontological constructs
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Argument-based applications to knowledge engineering
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Agent-based negotiation and decision making for dynamic supply chain formation
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Decision Support Systems
Theoretical foundations for conceptual modelling in information systems development
Decision Support Systems
Criteria of progress for information systems design theories
Information Systems and e-Business Management
The nature of theory in information systems
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SFM'12 Proceedings of the 12th international conference on Formal Methods for the Design of Computer, Communication, and Software Systems: formal methods for model-driven engineering
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Conceptual modelling and theory building are tightly bundled together, since conceptual models are one way to express one's thoughts, assumptions, beliefs and convictions, respectively his theory referencing a domain. However, while theory building does account for a process of knowledge creation and the evolution of a theory, which is characterised by falsification and rebuttals, a conceptual model remains a vessel of expressing a current state of knowledge. A theory held in a person's mind might develop during gaining experiences and through discussions with others, usually held in natural language. A conceptual model, however, disregards these aspects of theory building. Therefore in this paper, we will introduce an approach of purposefully constructing and validating conceptual models by means of arguments. This approach will not just enable a validation of a conceptual model against the theory of the creator, but against all theories the respective stakeholders might have.