The handling of complexity poses an important challenge and a success factor forrnproduct design. A considerable percentage of complexity results from dependencies betweenrnsystem elements – as adaptations to single system elements can cause far-reaching consequences.rnThe Structural Complexity Management (SCM) approach provides a five-step procedure thatrnsupports users in the identification, acquisition, analysis and optimization of system dependencies.rnThe approach covers the handling of multiple domains (e.g. Components, functions andrnpeople).Additionally the application of the SCM approach requires intensive support byrninformation visualization, e.g. Matrix and graph representations. However, one single techniquerndoes not satisfy all demands. Each phase of the SCM approach possesses individual requirementsrnon the visual support. Whereas many specific techniques exist for visualizing systems and theirrndependencies (e.g. Mind map or DSM), a suitable combination that supports the entire SCMrnapproach is not available. For this reason, practical applications of the SCM approach are onlyrnrestricted to small systems so far. In this contribution, we classify available techniques ofrninformation visualization and match them with the requirements of the SCM approach. Then wernassemble a comprehensive model of visualization techniques which will provide thernimplementation basis for an appropriate software support.
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