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Data-Flow Based Model AnalysisThe concept of (meta) modeling combines an intuitive way of formalizing the structure of an application domain with a high expressiveness that makes it suitable for a wide variety of use cases and has therefore become an integral part of many areas in computer science. While the definition of modeling languages through the use of meta models, e.g. in UML, is a well-understood process, their validation and the extraction of behavioral information is still a challenge.

In this paper we present a novel approach for dynamic model analysis along with several fields of application. Examining the propagation of information along the edges and nodes of the model graph allows to extend and simplify the definition of semantic constraints in comparison to the capabilities offered by e.g. the Object Constraint Language. Performing a flow-based analysis also enables the simulation of dynamic behavior, thus providing an ”abstract interpretation”-like analysis method for the modeling domain.
Document ID
20100018538
Acquisition Source
Langley Research Center
Document Type
Conference Paper
External Source(s)
Authors
Christian Saad
(University of Augsburg Augsburg, Germany)
Bernhard Bauer ORCID
(University of Augsburg Augsburg, Germany)
Date Acquired
August 24, 2013
Publication Date
April 1, 2010
Publication Information
Publication: Proceedings of the Second NASA Formal Methods Symposium
Publisher: National Aeronautics and Space Administration
Subject Category
Computer Programming and Software
Report/Patent Number
NASA/CP-2010-216215
Meeting Information
Meeting: 2nd NASA Formal Methods Symposium
Location: Washington, DC
Country: US
Start Date: April 13, 2010
End Date: April 15, 2010
Sponsors: National Aeronautics and Space Administration
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
NASA Technical Management
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