Part of the book series:Lecture Notes in Computer Science ((LNTCS,volume 5214))
Included in the following conference series:
957Accesses
Abstract
In graph transformation, the most cost-intensive phase of a transformation execution is pattern matching, where those subgraphs of a model graph are identified and matched which satisfy constraints prescribed by graph patterns. Incremental pattern matching aims to improve the efficiency of this critical step by storing the set of matches of a graph transformation rule and incrementally maintaining it as the model changes, thus eliminating the need of recalculating existing matches of a pattern. In this paper, we propose benchmark examples where incremental pattern matching is expected to have advantageous effect in the application domain of model simulation and model synchronization. Moreover, we compare the incremental graph pattern matching approach ofViatra2 with advanced non-incremental local-search based graph pattern matching approaches (as available inViatra2 and GrGen).
This work was partially supported by the SENSORIA European project (IST-3-016004). The fourth author was also supported by the János Bolyai Scholarship.
This is a preview of subscription content,log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bergmann, G., et al.: Incremental pattern matching in the VIATRA transformation system. In: GRaMoT 2008, 3rd International Workshop on Graph and Model Transformation, 30th International Conference on Software Engineering (accepted, 2008)
Matzner, A., Minas, M., Schulte, A.: Efficient graph matching with application to cognitive automation. In: Proc. Applications of Graph Transformations with Industrial Relevance (AGTIVE 2007). Springer, Heidelberg (2007)
Giese, H., Wagner, R.: Incremental Model Synchronization with Triple Graph Grammars. In: Nierstrasz, O., Whittle, J., Harel, D., Reggio, G. (eds.) MoDELS 2006. LNCS, vol. 4199, pp. 543–557. Springer, Heidelberg (2006)
Varró, G., Horváth, Á., Varró, D.: Recursive graph pattern matching with magic sets and global search plans. In: Proc. Applications of Graph Transformations with Industrial Relevance (AGTIVE 2007). Springer, Heidelberg (2007)
Geiss, R., et al.: GrGEN: A fast spo-based graph rewriting tool. In: Corradini, A., Ehrig, H., Montanari, U., Ribeiro, L., Rozenberg, G. (eds.) ICGT 2006. LNCS, vol. 4178, pp. 383–397. Springer, Heidelberg (2006)
Rozenberg, G. (ed.): Handbook of Graph Grammars and Computing by Graph Transformations: Foundations. World Scientific, Singapore (1997)
Varró, D., Balogh, A.: The model transformation language of the VIATRA2 framework. Sci. Comput. Program. 68(3), 214–234 (2007)
Rensink, A.: Representing first-order logic using graphs. In: Ehrig, H., Engels, G., Parisi-Presicce, F., Rozenberg, G. (eds.) ICGT 2004. LNCS, vol. 3256, pp. 319–335. Springer, Heidelberg (2004)
Ehrig, H., et al.: Handbook on Graph Grammars and Computing by Graph Transformation, Applications, Languages and Tools, vol. 2. World Scientific, Singapore (1999)
Börger, E., Särk, R.: Abstract State Machines. A method for High-Level System Design and Analysis. Springer, Heidelberg (2003)
Varró, G., Schürr, A., Varró, D.: Benchmarking for graph transformation. In: Proc. IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2005), Dallas, Texas, USA, pp. 79–88. IEEE Press, Los Alamitos (2005)
Murata, T.: Petri nets: Properties, analysis and applications. In: Proceedings of the IEEE, April 1989, published as Proceedings of the IEEE, vol. 77(4), pp. 541–580 (1989)
Jungel, M., Kindler, E., Weber, M.: The Petri Net Markup Language. In: Algorithmen und Werkzeuge fur Petrinetze (AWPN), Koblenz (June 2002)
The VIATRA2 Framework: official website (2008),http://viatra.inf.mit.bme.hu
Geiss, R., Kroll, M.: On improvements of the Varro benchmark for graph transformation tools. Technical Report 2007-7, Universität Karlsruhe, IPD Goos 12 (2007)
Lawley, M., Steel, J.: Practical declarative model transformation with Tefkat. In: Proc. International Workshop on Model Transformation in Practice (MTiP 2005) (October 2005)
Hearnden, D., et al.: Incremental model transformation for the evolution of model-driven systems. In: Nierstrasz, O., Whittle, J., Harel, D., Reggio, G. (eds.) MoDELS 2006. LNCS, vol. 4199, pp. 321–335. Springer, Heidelberg (2006)
Varró, G., Varró, D., Schürr, A.: Incremental graph pattern matching: Data structures and initial experiments. In: Proc. Graph and Model Transformation (GraMoT 2006). Electronic Communications of the EASST, vol. 4 (2006)
Forgy, C.L.: Rete: A fast algorithm for the many pattern/many object pattern match problem. Artificial Intelligence 19(1), 17–37 (1982)
Bunke, H., Glauser, T., Tran, T.H.: An efficient implementation of graph grammar based on the RETE-matching algorithm. In: Ehrig, H., Kreowski, H.-J., Rozenberg, G. (eds.) Graph Grammars 1990. LNCS, vol. 532, pp. 174–189. Springer, Heidelberg (1991)
Matzner, A., Minas, M., Schulte, A.: Efficient graph matching with application to cognitive automation. In: Proc. 3rd International Workshop and Symposium on Applications of Graph Transformation with Industrial Relevance, Kassel, Germany, October 2007, pp. 293–308 (2007)
Ermel, C., Rudolf, M., Taentzer, G.: The AGG-Approach: Language and Tool Environment. In: [9], pp. 551–603. World Scientific, Singapore (1999)
Schürr, A.: Introduction to PROGRES, an attributed graph grammar based specification language. In: Nagl, M. (ed.) WG 1989. LNCS, vol. 411, pp. 151–165. Springer, Heidelberg (1990)
Nickel, U., Niere, J., Zündorf, A.: Tool demonstration: The FUJABA environment. In: The 22nd International Conference on Software Engineering (ICSE), Limerick, Ireland. ACM Press, New York (2000)
The AGTIVE Tool Contest: official website (2007),http://www.informatik.uni-marburg.de/~swt/agtive-contest
Author information
Authors and Affiliations
Department of Measurement and Information Systems, Budapest University of Technology and Economics, 1117, Budapest, Magyar Tudósok krt. 2
Gábor Bergmann, Ákos Horváth, István Ráth & Dániel Varró
- Gábor Bergmann
You can also search for this author inPubMed Google Scholar
- Ákos Horváth
You can also search for this author inPubMed Google Scholar
- István Ráth
You can also search for this author inPubMed Google Scholar
- Dániel Varró
You can also search for this author inPubMed Google Scholar
Editor information
Editors and Affiliations
Technische Universität Berlin, Germany
Hartmut Ehrig
Department of Computer Science, University of Leicester, Leicester, UK
Reiko Heckel
Leiden Center for Natural Computing, Leiden University, Leiden, The Netherlands
Grzegorz Rozenberg
Department of Mathematics and Computer Science, Philipps-University Marburg, Marburg, Germany
Gabriele Taentzer
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bergmann, G., Horváth, Á., Ráth, I., Varró, D. (2008). A Benchmark Evaluation of Incremental Pattern Matching in Graph Transformation. In: Ehrig, H., Heckel, R., Rozenberg, G., Taentzer, G. (eds) Graph Transformations. ICGT 2008. Lecture Notes in Computer Science, vol 5214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87405-8_27
Download citation
Publisher Name:Springer, Berlin, Heidelberg
Print ISBN:978-3-540-87404-1
Online ISBN:978-3-540-87405-8
eBook Packages:Computer ScienceComputer Science (R0)
Share this paper
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative