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Travelled to:
1 × Czech Republic
1 × France
1 × Norway
1 × Spain
2 × Germany
2 × Italy
2 × United Kingdom
3 × Switzerland
3 × USA
Collaborated with:
I.Ráth D.Varró Á.Horváth C.Debreceni Á.Hegedüs Z.Ujhelyi T.Szabó P.Torrini A.Ökrös B.Izsó D.Horváth R.Heckel S.Erdweg M.Voelter Z.Szatmári M.Búr G.Szárnyas D.Harmath A.Balogh Z.Balogh I.Dávid A.Gómez X.Mendialdua J.Cabot A.Garmendia D.S.Kolovos J.d.Lara S.Trujillo
Talks about:
model (17) transform (9) increment (9) queri (9) graph (7) pattern (6) emf (6) match (5) collabor (4) effici (4)

Person: Gábor Bergmann

DBLP DBLP: Bergmann:G=aacute=bor

Contributed to:

MoDELS 20142014
ASE 20132013
ICGT 20122012
TOOLS Europe 20122012
ASE 20112011
ECMFA 20112011
ICMT 20112011
GT-VMT 20102010
MoDELS (1) 20102010
SEFM 20102010
GT-VMT 20092009
ICMT 20092009
ICGT 20082008
ICMT 20082008
ICMT 20152015
MoDELS 20162016
ECMFA 20172017
MoDELS 20172017
ESEC/FSE 20172017
OOPSLA 20182018

Wrote 22 papers:

MoDELS-2014-Bergmann #graph #ocl
Translating OCL to Graph Patterns (GB), pp. 670–686.
MoDELS-2014-SzarnyasIRHBV #distributed #framework #in the cloud #incremental #named #query
IncQuery-D: A Distributed Incremental Model Query Framework in the Cloud (GS, BI, IR, DH, GB, DV), pp. 653–669.
ASE-2013-IzsoSBHR #graph #metric #performance #precise #predict #query #towards
Towards precise metrics for predicting graph query performance (BI, ZS, GB, ÁH, IR), pp. 421–431.
ICGT-2012-BergmannHH #database #graph transformation #incremental #modelling #relational
Applying Incremental Graph Transformation to Existing Models in Relational Databases (GB, DH, ÁH), pp. 371–385.
ICGT-2012-BergmannRSTV #incremental #pattern matching #performance #transitive
Incremental Pattern Matching for the Efficient Computation of Transitive Closure (GB, IR, TS, PT, DV), pp. 386–400.
TOOLS-EUROPE-2012-BergmannHHRUV #emf #performance #query #state of the art #tool support
Integrating Efficient Model Queries in State-of-the-Art EMF Tools (GB, ÁH, ÁH, IR, ZU, DV), pp. 1–8.
ASE-2011-BergmannHHRUV #emf #implementation #performance #tool support #validation
Implementing efficient model validation in EMF tools (GB, ÁH, ÁH, IR, ZU, DV), pp. 580–583.
ECMFA-2011-BergmannHRV #emf #evaluation #incremental #modelling #query #tutorial
Incremental Evaluation of Model Queries over EMF Models: A Tutorial on EMF-IncQuery (GB, ÁH, IR, DV), pp. 389–390.
ICMT-2011-BergmannURV #emf #graph #modelling #query
A Graph Query Language for EMF Models (GB, ZU, IR, DV), pp. 167–182.
GT-VMT-2010-TorriniHRB #graph transformation #probability
Stochastic Graph Transformation with Regions (PT, RH, IR, GB).
MoDELS-v1-2010-BergmannHRVBBO #emf #evaluation #incremental #modelling #query
Incremental Evaluation of Model Queries over EMF Models (GB, ÁH, IR, DV, AB, ZB, ), pp. 76–90.
SEFM-2010-HegedusBRV #model transformation #simulation
Back-annotation of Simulation Traces with Change-Driven Model Transformations (ÁH, GB, IR, DV), pp. 145–155.
GT-VMT-2009-BergmannRV #graph transformation #incremental #parallel #pattern matching
Parallelization of Graph Transformation Based on Incremental Pattern Matching (GB, IR, DV), pp. 100–114.
ICMT-2009-BergmannHRV #model transformation #pattern matching #performance
Efficient Model Transformations by Combining Pattern Matching Strategies (GB, ÁH, IR, DV), pp. 20–34.
ICGT-2008-BergmannHRV #benchmark #evaluation #graph transformation #incremental #metric #pattern matching
A Benchmark Evaluation of Incremental Pattern Matching in Graph Transformation (GB, ÁH, IR, DV), pp. 396–410.
ICMT-2008-RathBOV #incremental #model transformation #pattern matching
Live Model Transformations Driven by Incremental Pattern Matching (IR, GB, , DV), pp. 107–121.
ICMT-2015-BergmannDHHRUV #framework #model transformation #platform
Viatra 3: A Reactive Model Transformation Platform (GB, ID, ÁH, ÁH, IR, ZU, DV), pp. 101–110.
MoDELS-2016-BergmannDRV #bidirectional #collaboration #data access #modelling #using
Query-based access control for secure collaborative modeling using bidirectional transformations (GB, CD, IR, DV), pp. 351–361.
ECMFA-2017-GomezMBCDGKLT #case study #development #experience #modelling #on the #scalability
On the Opportunities of Scalable Modeling Technologies: An Experience Report on Wind Turbines Control Applications Development (AG, XM, GB, JC, CD, AG, DSK, JdL, ST), pp. 300–315.
MoDELS-2017-DebreceniBRD #collaboration #modelling
Property-Based Locking in Collaborative Modeling (CD, GB, IR, DV), pp. 199–209.
ESEC-FSE-2017-DebreceniBBRV #collaboration #framework #modelling #version control
The MONDO collaboration framework: secure collaborative modeling over existing version control systems (CD, GB, MB, IR, DV), pp. 984–988.
OOPSLA-2018-SzaboBEV #analysis #datalog
Incrementalizing lattice-based program analyses in Datalog (TS, GB, SE, MV), p. 29.

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