TY  - JOUR
AU  - Rafe, V
AU  - Jamali, S
AU  - Rahmani, M
AU  - Mahdian, F
TI  - From class diagrams to relational tables: A graph transformation-based approach
JF  - PRZEGLAD ELEKTROTECHNICZNY
J2  - PRZ ELEKTROTECHN
VL  - 87
PY  - 2011
IS  - 8
SP  - 163
EP  - 165
PG  - 3
SN  - 0033-2097
UR  - https://m2.mtmt.hu/api/publication/27170215
ID  - 27170215
N1  - Megjegyzés-23929582
Hiányzó nyelv: 'English; Polish'
Admin megjegyzés-23929582
tbllanguage: (Language) ('English; Polish') #nyelv
Megjegyzés-23929674
Hiányzó nyelv: 'English; Polish'
Admin megjegyzés-23929674
tbllanguage: (Language) ('English; Polish') #nyelv
Megjegyzés-23929470
Hiányzó nyelv: 'English; Polish'
Admin megjegyzés-23929470
tbllanguage: (Language) ('English; Polish') #nyelv
LA  - Polish
DB  - MTMT
ER  - 

TY  - CONF
AU  - Priyadarshini, S
AU  - Mishra, D
TI  - A Hybridized Graph Mining Approach
T2  - Information and Communication Technologies
PB  - Springer Netherlands
PB  - Springer Netherlands
PY  - 2010
SP  - 356
EP  - 361
PG  - 6
UR  - https://m2.mtmt.hu/api/publication/23929581
ID  - 23929581
LA  - English
DB  - MTMT
ER  - 

TY  - THES
AU  - Ali, Q
TI  - Graph Transformations based on Relational Databases
PY  - 2008
UR  - https://m2.mtmt.hu/api/publication/24127413
ID  - 24127413
LA  - English
DB  - MTMT
ER  - 

TY  - THES
AU  - Geiß, R R
TI  - Graphersetzung mit Anwendungen im Ubersetzerbau
PY  - 2007
UR  - https://m2.mtmt.hu/api/publication/24127386
ID  - 24127386
LA  - German
DB  - MTMT
ER  - 

TY  - GEN
AU  - Geiß, Rubino
AU  - Kroll, Moritz
TI  - On Improvements of the Varró Benchmark for Graph Transformation Tools
PY  - 2007
UR  - https://m2.mtmt.hu/api/publication/23929577
ID  - 23929577
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Gei, R
AU  - Batz, G V
AU  - Grund, D
AU  - Hack, S
AU  - Szalkowski, A
TI  - GrGen: A fast SPO-based graph rewriting tool
JF  - LECTURE NOTES IN COMPUTER SCIENCE
J2  - LNCS
VL  - 4178
PY  - 2006
SP  - 383
EP  - 397
PG  - 15
SN  - 0302-9743
DO  - 10.1007/11841883_27
UR  - https://m2.mtmt.hu/api/publication/23929574
ID  - 23929574
N1  - Source: Scopus
Lecture Notes in Computer Science
LA  - English
DB  - MTMT
ER  - 

TY  - CONF
AU  - Kalnins, A
AU  - Celms, E
AU  - Sostaks, A
TI  - Simple and efficient implementation of pattern matching in MOLA tool
T2  - 2006 Seventh International Baltic Conference on Databases and Information Systems, Proceedings
PY  - 2006
SP  - 159
EP  - 167
PG  - 9
DO  - 10.1109/DBIS.2006.1678491
UR  - https://m2.mtmt.hu/api/publication/23929575
ID  - 23929575
N1  - Source: Scopus
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Varró, Gergely György
AU  - Friedl, Katalin
AU  - Varró, Dániel
TI  - Implementing a graph transformation engine in relational databases
JF  - SOFTWARE AND SYSTEMS MODELING
J2  - SOFTW SYST MODEL
VL  - 5
PY  - 2006
IS  - 3
SP  - 313
EP  - 341
PG  - 29
SN  - 1619-1366
DO  - 10.1007/s10270-006-0015-y
UR  - https://m2.mtmt.hu/api/publication/2612532
ID  - 2612532
N1  - Department of Computer Science and Information Theory, Budapest University of Technology and Economics, Budapest, Hungary            
            Department of Measurement and Information Systems, Budapest University of Technology and Economics, Budapest, Hungary            
            Cited By :22            
            Export Date: 20 May 2022            
            Correspondence Address: Varró, G.; Department of Computer Science and Information Theory, , Budapest, Hungary; email: gervarro@cs.bme.hu
AB  - 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.
LA  - English
DB  - MTMT
ER  - 

TY  - THES
AU  - Szalkowski, Adam
TI  - Negative Anwendungsbedingungen für das suchprogrammbasierte Backend von GrGen
PY  - 2005
UR  - https://m2.mtmt.hu/api/publication/23929578
ID  - 23929578
N1  - MSc Thesis
LA  - German
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Varró, Gergely György
AU  - Schürr, A
AU  - Varró, Dániel
ED  - IEEE, null
TI  - Benchmarking for graph transformation
T2  - Proceedings - 2005 IEEE Symposium on Visual Languages and Human-Centric Computing
PB  - IEEE Computer Society Press
CY  - New York, New York
SN  - 0769524435
PY  - 2005
SP  - 79
EP  - 88
PG  - 10
DO  - 10.1109/VLHCC.2005.23
UR  - https://m2.mtmt.hu/api/publication/2612528
ID  - 2612528
N1  - Cited By :65            
            Export Date: 20 May 2022            
            Correspondence Address: Varró, G.; Department of Computer Science and Information Theory, Magyar tudosok korutja 2, H-1521 Budapest, Hungary; email: gervarro@cs.bme.hu
AB  - 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.
LA  - English
DB  - MTMT
ER  -