Аннотация
An international standard has now been established for evaluating
the quality of software products. However there is no equivalent
standard for evaluating the quality of conceptual models. While
a range of quality frameworks have been proposed in the literature,
none of these have been widely accepted in practice and none has
emerged as a potential standard. As a result, conceptual models
continue to be evaluated in practice in an ad hoc way, based on
common sense, subjective opinions and experience. For conceptual
modelling to progress from an ärt" to an engineering discipline,
quality standards need to be defined, agreed and applied in practice.
This paper conducts a review of research in conceptual model quality
and identifies the major theoretical and practical issues which
need to be addressed. We consider how conceptual model quality frameworks
can be structured, how they can be developed, how they can be empirically
validated and how to achieve acceptance in practice. We argue that
the current proliferation of quality frameworks is counterproductive
to the progress of the field, and that researchers and practitioners
should work together to establish a common standard (or standards)
for conceptual model quality. Finally, we describe some initial
efforts towards developing a common standard for data model quality,
which may provide a model for future standardisation efforts.
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