Certifying Rule-Based Models using Graph Transformation : Extended, Improved and New Graph Transformation Analysis Techniques: Clearing the Way for a General Road Map to Certification
Language: English
Published by Südwestdeutscher Verlag Für Hochschulschriften, 2010
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Many systems exhibit rule-based behavior that can be modeled very well by means of graph transformation. In this thesis, a new graph transformation theory is introduced for rules describing not only positive pre- and post-conditions, but also so-called negative application conditions. Present analysis techniques are extended for this more expressive kind of graph transformation. Moreover, new kinds of analysis techniques are introduced and present techniques are improved. The main part of the newly developed theory is formulated in the more abstract adhesive high-level-transformation framework. Consequently, the analysis techniques can be applied not only to graphs, but also to other complex structures such as Petri nets and attributed graphs. Finally, a general road map is presented leading to the certification of a selection of properties in rule-based models. The certification, based on graph transformation analysis techniques, is illustrated by a case study of an elevator control system. Moreover, the current tool support for certification of rule-based models using graph transformation provided by AGG is outlined.…
Seller Inventory # 9783838116501
- Title
- Certifying Rule-Based Models using Graph Transformation : Extended, Improved and New Graph Transformation Analysis Techniques: Clearing the Way for a General Road Map to Certification
- Author
- Leen Lambers
- Publisher
- Südwestdeutscher Verlag Für Hochschulschriften
- Publication year
- 2010
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 383811650X
- ISBN 13
- 9783838116501
- Item weight
- 381 grams
- Dimensions
- 220x150x16 mm
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