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Author Rossetti, M. D. ♦ Hill, R. R. ♦ Johansson, B. ♦ Dunkin, A. ♦ Ingalls, R. G. ♦ Huber, Daniel ♦ Dangelmaier, Wilhelm
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Abstract In this paper a method for controlled simplification is presented, which is able to create simplified models with specific properties concerning complexity and behavioral deviation automatically. The method requires a finite set of model component classes, of which instances a user-defined model can be created. Two techniques for simplification are used: aggregation, where a large set of components is substituted by a small set, and omission, where components are deleted without compensation. A set of simplification rules concerning the simplification techniques, the component classes and the model structures line and parallel line are defined. These rules are used by a simplification algorithm, which is embedded in a control loop of complexity measurement and behavior measurement. 1
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article