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  • 14-Mar-2012 04:23 EDT

Using SCADE System for the Design and Integration of Critical Systems


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This presentation shows the SCADE System product line for systems modeling and generation based on the SysML standard and the Eclipse Papyrus open source technology. SCADE System has been developed in the framework of Listerel, a joint laboratory of Esterel Technologies, provider of the SCADE�, and CEA LIST, project leader of the Eclipse component, Papyrus. From an architecture point of view, the Esterel SCADE tools are built on top of the SCADE platform which includes both SCADE Suite�, a model-based development environment dedicated to critical software, and SCADE System enabling model-based system engineering. SCADE System includes Papyrus, an open source component (under EPL license), integrated in the modeling platform of Eclipse. Using this integrated modeling platform, both system and software teams share the same environment for system development. Furthermore, other model-based tools can be added to the environment, due to the use of Eclipse. SCADE System avoids duplication of efforts and inconsistencies between system structural descriptions made of SysML Block Definition Diagram (BDD) and Internal Block Diagram (IBD), and the full software behavioral description designed through SCADE Suite models. Once the system description is completed and checked, the individual software blocks in the system can be refined in the form of models in SCADE Suite or in the form of manually developed source code. Automatic and DO-178B Level A-qualified code generation can then be applied to the SCADE Suite models. Moreover, the SCADE System description can be used as the basis to develop scripts that will automatically integrate the complete application software.

Thierry LeSergent

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Simulation-based tolerance analysis is the accepted standard for dimensional engineering in aerospace today. Sophisticated 3D model-based tolerance analysis processes enable engineers to measure variation in complex, often large, assembled products quickly and accurately. Best-in-class manufacturers have adopted Quality Intelligence Management tools for collecting and consolidating this measurement data. Their goal is to completely understand dimensional fit characteristics and quality status before commencing the build process. This results in shorter launch cycles, improved process capabilities, reduced scrap and less production downtime. This paper describes how to use simulation-based approaches to correlate the theoretical tolerance analysis results produced during engineering simulations to actual as-built results. This allows engineers to validate or adjust as-designed simulation parameters to more closely align to production process capabilities.

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