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Automatic variation-point identification in function-block-based ...
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This work introduces an automatic approach to recognize variants in a set of models and identify the variation points and their dependencies within variants. As ...
(PDF) Automatic Variation-Point Identification in Function ...
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2024年10月22日 — This work introduces an automatic approach to recognize variants in a set of models and identify the variation points and their dependencies ...
Automatic variation-point identification in function-block-based models
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This work introduces an automatic approach to recognize variants in a set of models and identify the variation points and their dependencies within variants. As ...
Function-block-based models | Download Scientific Diagram
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Function-block-based modeling is often used to develop embedded systems, particularly as system variants can be developed rapidly from existing modules.
Joern Ploennigs
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Automatic variation-point identification in function-block-based models. U Ryssel, J Ploennigs, K Kabitzsch. ACM SIGPLAN Notices 46 (2), 23-32, 2010. 71, 2010.
Joern Ploennigs
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Automatic variation-point identification in function-block-based models. U Ryssel, J Ploennigs, K Kabitzsch. ACM SIGPLAN Notices 46 (2), 23-32, 2010. 71, 2010.
[PDF] Automatische Synthese von Familienmodellen durch ...
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Automatic variation-point identification in function-block-based models · U. RysselJ. PloennigsK. Kabitzsch. Computer Science, Engineering. GPCE '10. 2010. TLDR.
Identifying and Visualising Commonality and Variability in ...
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由 J Martinez 著作2014被引用 43 次 — Comparing all these model variants to identify common and variable ... Automatic variation-point identification in function-block-based models. In ...
What Are Variants and When to Use Them
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AUTOSAR variants enable you to use variant blocks to implement AUTOSAR software components with variation points. See Model AUTOSAR Variants (AUTOSAR Blockset).
Variability Identification and Representation for Automotive ...
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由 MH Alalfi 著作2019被引用 7 次 — This chapter presents an automated framework for identifying and representing different types of variability in Simulink models.