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Supporting Product Modelling with “GraphTool”

Palacz w., Paszyńska A., Ślusarczyk G., Strug B., Grabska E.

Machine Dynamics Research

2017

Vol. 41, No. 4

135--147

This paper presents the GraphTool system which supports all steps required to define graph grammars and to control their application. It provides graphical editors for graphs, graph transformation rules, and control diagrams. The considered graph grammars are based on different types of graphs (composite graphs, hierarchical graphs, hypergraphs and hierarchical hypergraphs) which can be labelled and attributed. In this tool, the standard approach to graphs and graph grammars is extended to graph grammar systems and graphs with layers. Adding layers allows the user to model graph structures composed of disjoint substructures, while adopting grammar systems allows for defining groups of grammars working together in a single derivation process. Graph structures obtained as the result of the graph derivations are used as knowledge representation in different application fields. This paper shows the versatility of GraphTool by presenting examples of its use in four different areas: computational grids, computer game states, Finite Element Method computations and architectural designs.

From Class Diagrams to Relational Tables: A Graph Transformation-based Approach

Rafe V., Jamali S., Rahmani M., Mahdian F.

Przegląd Elektrotechniczny

2011

R. 87, nr 8

163-165

Nowadays UML has been accepted in both academia and industry as a de facto modelling language to develop software systems. As relational databases are widely used for developing software systems, thus, it is a challenge to derive relational tables from designed models. In this paper, we present a formal yet automatic approach to extract relational tables from class diagrams. To do so, we adopt graph transformation systems. We have designed some graph transformation rules to derive necessary tables from UML class diagrams. All the necessary concepts are illustrated through a case study.

Język UML jest powszechnie akceptowany jako język do tworzenia oprogramowania. Jako baza relacyjna jest powszechnie wykorzystywany chociaż nie jest łatwo tworzyć na jego podstawie tablice relacyjne. W artykule przedstawiono automatyczną metodę ekstrakcji takich tabel. W tym celu zaadaptowano transformację grafu.