Abstract
Automatic testing and learning methods are of great benefit in many engineering areas. They provide the possibility for training without the need of personal communication and eliminate related barriers that hold up project progress. As most technical systems include components that are related to each other and need to form a properly working system, a knowledge base which allows to retrieve the relations of a component to others regarding its properties and targeted functionality can support this task in many ways. Our system for assisted model composition forms a highly structured documentation system, based on model semantics. An important aspect of our system is the combination of user activated information retrieval and pro-active model composition assistance. The model semantics define specialized dependency annotations that can be attached to selected parts of the model, and with the help of which relevant guidelines for related processes, such as model couplings, and belonging remarks about materials, integration oddities, exceptions and other dynamically defined properties, can be brought to the designer’s attention.
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Opletal, S., Stoyanov, E., Roller, D. (2007). Pro-active Environment for Assisted Model Composition. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2007. Lecture Notes in Computer Science, vol 4674. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74780-2_8
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DOI: https://doi.org/10.1007/978-3-540-74780-2_8
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