Understanding Quality in Conceptual Modeling
IEEE Software
Defining quality aspects for conceptual models
Proceedings of the IFIP international working conference on Information system concepts: Towards a consolidation of views
Towards a Deeper Understanding of Quality in Requirements Engineering
CAiSe '95 Proceedings of the 7th International Conference on Advanced Information Systems Engineering
What Makes a Good Data Model? Evaluating the Quality of Entity Relationship Models
ER '94 Proceedings of the13th International Conference on the Entity-Relationship Approach
Improving the Quality of Entity Relationship Models - Experience in Research and Practice
ER '98 Proceedings of the 17th International Conference on Conceptual Modeling
Metrics for Evaluating the Quality of Entity Relationship Models
ER '98 Proceedings of the 17th International Conference on Conceptual Modeling
The Guidelines of Modeling - An Approach to Enhance the Quality in Information Models
ER '98 Proceedings of the 17th International Conference on Conceptual Modeling
Choosing appropriate method guidelines for web-ontology building
ER'05 Proceedings of the 24th international conference on Conceptual Modeling
Situated support for choice of representation for a semantic web application
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
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The evaluation of information models is an outstanding research field in information systems engineering. From a theoretical oriented research viewpoint, it has to be questioned whether it is possible to evaluate artefacts with respect to philosophical and decision theory oriented aspects. Basing on the theoretical assumption that information modeling is a decision problem, this article deals with model evaluation approaches discussed in literature. Approaches will be compared not only on a meta level (ontological and epistemological assumptions) but also on an object level (evaluation of information models). The Frameworks of Moody/Shanks, Krogstie/Lindland/Sindre and the Guidelines of Modeling will be described and compared.