• Corpus ID: 12136082

Automatische Synthese von Familienmodellen durch Analyse von block-basierten Funktionsmodellen

@inproceedings{Holthusen2013AutomatischeSV,
  title={Automatische Synthese von Familienmodellen durch Analyse von block-basierten Funktionsmodellen},
  author={S{\"o}nke Holthusen and Peter Manhart and Ina Schaefer and Sandro Schulze and Christian Singer and David Wille},
  booktitle={GI-Jahrestagung},
  year={2013}
}
Um die steigende Komplexität in der Softwareentwicklung in der Automobilindustrie zu beherrschen, werden immer öfter modellbasierte Entwicklungsansätze, zum Beispiel mit block-basierten Modellen, genutzt. Modellvarianten werden dabei nicht selten durch Kopieren und Anpassen erzeugt. Dies führt zu einer Modellfamilie mit unterschiedlichen, aber verwandten Modellen und erschwert die Wartung, Qualitätssicherung und Weiterentwicklung der Modelle. In diesem Aufsatz wird ein Ansatz präsentiert, mit… 
2 Citations

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References

SHOWING 1-7 OF 7 REFERENCES

Clone detection in automotive model-based development

An approach for the automatic detection of clones in large models as they are used in model-based development of control systems is presented, based on graph theory and hence can be applied to most graphical data-flow languages.

From Products to Product Lines Using Model Matching and Refactoring

This paper proposes to analyze duplications in the models of individual products using a heterogeneous match algorithm which takes into account structural and behavioral information to identify identical and similar model elements.

Complete and accurate clone detection in graph-based models

ModelCD is presented, a novel clone detection tool for Matlab/Simulink models, that is able to efficiently and accurately detect both exactly matched and approximate model clones.

Extraction of feature models from formal contexts

This work presents an approach based on formal concept analysis that analyzes incidence matrices containing matching relations as input and creates feature models as output that describe exactly the given input variants.

Generative programming - methods, tools and applications

This chapter discusses Domain Engineering and Object-Oriented Analysis and Design, and main development steps in Generative Programming, as well as Static versus Dynamic Parameterization, and a Fresh Look at Polymorphism.

Automatic variation-point identification in function-block-based models

This work introduces an automatic approach to recognize variants in a set of models and identify the variation points and their dependencies within variants, and offers automatically generated feature models and ICCL content to regenerate the given variants.