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Understanding and Assessing Quality of Models and Modeling Languages
Abstract
An important challenge for organizational activity is to effectively represent and transfer knowledge. One reason why humans have excelled as a species is our ability to create common stories and represent, reuse, and transfer this as knowledge across time and space. Whereas in most areas of human conduct one-dimensional natural language texts are the main way of expressing and sharing knowledge, the authors see the need for and use of two and many-dimensional forms of knowledge representational to be on the rise. This will also enable users to capture contextual dependencies between roles, tasks, information elements, and the views required for performing work without having to go through traditional systems developers to have enhanced support for their work. The importance on supporting judgment on the quality of these models will thus increase along with the usefulness of frameworks for quality of models and modeling languages such as SEQUAL.
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