@article{MTMT:27170215, title = {From class diagrams to relational tables: A graph transformation-based approach}, url = {https://m2.mtmt.hu/api/publication/27170215}, author = {Rafe, V and Jamali, S and Rahmani, M and Mahdian, F}, journal-iso = {PRZ ELEKTROTECHN}, journal = {PRZEGLAD ELEKTROTECHNICZNY}, volume = {87}, unique-id = {27170215}, issn = {0033-2097}, year = {2011}, eissn = {2449-9544}, pages = {163-165} } @CONFERENCE{MTMT:23929581, title = {A Hybridized Graph Mining Approach}, url = {https://m2.mtmt.hu/api/publication/23929581}, author = {Priyadarshini, S and Mishra, D}, booktitle = {Information and Communication Technologies}, publisher = {Springer Netherlands}, unique-id = {23929581}, year = {2010}, pages = {356-361} } @mastersthesis{MTMT:24127413, title = {Graph Transformations based on Relational Databases}, url = {https://m2.mtmt.hu/api/publication/24127413}, author = {Ali, Q}, unique-id = {24127413}, year = {2008} } @mastersthesis{MTMT:24127386, title = {Graphersetzung mit Anwendungen im Ubersetzerbau}, url = {https://m2.mtmt.hu/api/publication/24127386}, author = {Geiß, R R}, unique-id = {24127386}, year = {2007} } @misc{MTMT:23929577, title = {On Improvements of the Varró Benchmark for Graph Transformation Tools}, url = {https://m2.mtmt.hu/api/publication/23929577}, author = {Geiß, Rubino and Kroll, Moritz}, unique-id = {23929577}, year = {2007} } @article{MTMT:23929574, title = {GrGen: A fast SPO-based graph rewriting tool}, url = {https://m2.mtmt.hu/api/publication/23929574}, author = {Gei, R and Batz, G V and Grund, D and Hack, S and Szalkowski, A}, doi = {10.1007/11841883_27}, journal-iso = {LNCS}, journal = {LECTURE NOTES IN COMPUTER SCIENCE}, volume = {4178}, unique-id = {23929574}, issn = {0302-9743}, year = {2006}, eissn = {1611-3349}, pages = {383-397} } @CONFERENCE{MTMT:23929575, title = {Simple and efficient implementation of pattern matching in MOLA tool}, url = {https://m2.mtmt.hu/api/publication/23929575}, author = {Kalnins, A and Celms, E and Sostaks, A}, booktitle = {2006 Seventh International Baltic Conference on Databases and Information Systems, Proceedings}, doi = {10.1109/DBIS.2006.1678491}, unique-id = {23929575}, year = {2006}, pages = {159-167} } @article{MTMT:2612532, title = {Implementing a graph transformation engine in relational databases}, url = {https://m2.mtmt.hu/api/publication/2612532}, author = {Varró, Gergely György and Friedl, Katalin and Varró, Dániel}, doi = {10.1007/s10270-006-0015-y}, journal-iso = {SOFTW SYST MODEL}, journal = {SOFTWARE AND SYSTEMS MODELING}, volume = {5}, unique-id = {2612532}, issn = {1619-1366}, abstract = {We present a novel approach to implement a graph transformation engine based on standard relational database management systems (RDBMSs). The essence of the approach is to create database views for each rule and to handle pattern matching by inner join operations while handling negative application conditions by left outer join operations. Furthermore, the model manipulation prescribed by the application of a graph transformation rule is also implemented using elementary data manipulation statements (such as insert, delete). As a result, we obtain a robust and fast transformation engine especially suitable for (1) extending modeling tools with an underlying RDBMS repository and (2) embedding model transformations into large distributed applications where models are frequently persisted in a relational database and transaction handling is required to handle large models consistently. ? Springer-Verlag 2006.}, year = {2006}, eissn = {1619-1374}, pages = {313-341}, orcid-numbers = {Varró, Dániel/0000-0002-8790-252X} } @mastersthesis{MTMT:23929578, title = {Negative Anwendungsbedingungen für das suchprogrammbasierte Backend von GrGen}, url = {https://m2.mtmt.hu/api/publication/23929578}, author = {Szalkowski, Adam}, unique-id = {23929578}, year = {2005} } @inproceedings{MTMT:2612528, title = {Benchmarking for graph transformation}, url = {https://m2.mtmt.hu/api/publication/2612528}, author = {Varró, Gergely György and Schürr, A and Varró, Dániel}, booktitle = {Proceedings - 2005 IEEE Symposium on Visual Languages and Human-Centric Computing}, doi = {10.1109/VLHCC.2005.23}, unique-id = {2612528}, abstract = {Model transformation (MT) is a key technology in the model-driven development approach of software engineering that provides automated means to capture the evolution of models and mappings between modeling languages. The pattern and rule-based paradigm of graph transformation is considered a very popular approach for specifying such model transformations. While the expressiveness of different MT specification techniques is frequently compared on well-known transformation problems (e.g. UML-to-XMI, or UML-to-EJB mappings), no such benchmarks exist currently for comparing the performance of different model transformation tools. In the paper, we propose a systematic method for quantitative benchmarking in order to assess the performance of graph transformation tools. Typical features of the graph transformation paradigm and various optimization strategies exploited in different tools are identified and categorized. Moreover, the performance of several popular graph transformation tools is measured and compared on a well-known distributed mutual exclusion problem. ? 2005 IEEE.}, year = {2005}, pages = {79-88}, orcid-numbers = {Varró, Dániel/0000-0002-8790-252X} }