Contains the keyword Viatra
The Train Benchmark: Cross-Technology Performance Evaluation of Continuous Model Queries. Software and Systems Modeling. 2018;17(4).
Effects of Graph Transformation Rules to Design Space Exploration Problems. In: Proceedings of the 24th PhD Mini-Symposium. Budapest: Budapest University of Technology and Economics, Department of Measurement and Information Systems; 2017.
Incremental Queries and Transformations: From Concepts to Industrial Applications. In: Freivalds R M, Engels G, Catania B, editors. SOFSEM 2016: Theory and Practice of Computer Science - 42nd International Conference on Current Trends in Theory and Practice of Computer Science, Harrachov, Czech Republic, January 23-28, 2016, Proceedings. Vol 9587. Harrachov, Czech Republic: Springer; 2016. p. 51-9. (LNCS; vol 9587). Abstract
Rete Network Slicing for Model Queries. Vol 9761. Echahed R, Minas M, editors. Vienna, Austria: Springer International Publishing; 2016. (Lecture Notes in Computer Science; vol 9761). Abstract
Road to a reactive and incremental model transformation platform: three generations of the VIATRA framework. Software {&} Systems Modeling. 2016;15(3):609-29. Abstract
Viatra 3 : A Reactive Model Transformation Platform. In: 8th International Conference on Model Transformations. L'Aquila, Italy: Springer; 2015. Abstract
A model-driven framework for guided design space exploration. Automated Software Engineering. 2015;22(3):399-436. Abstract
Hardware-software allocation specification of IMA systems for early simulation. In: Digital Avionics Systems Conference (DASC). Colorado Spings, Colorado, US: IEEE; 2014. Abstract
Streaming Model Transformations By Complex Event Processing. In: Dingel J, Schulte W, editors. ACM/IEEE 17th International Conference on Model Driven Engineering Languages and Systems, MODELS 2014. Valencia, Spain: Springer; 2014.
Acceptance rate: 26%
Validation of Derived Features and Well-Formedness Constraints in DSLs by mapping graph queries to an SMT-solver. In: ACM/IEEE 16th International Conference on Model Driven Engineering Languages & Systems. Miami, US: Springer LNCS 8107; 2013. Abstract
ACM/IEEE Best Paper Award, Acceptance rate: 26%
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