A successful STAF conference

The STAF 2014 (Software Technologies: Applications and Foundations) conference was organised by the University of York from July 21 to July 25, 2014. The event hosted a number of prestigious conferences, presenting state of the art research in model-driven design, software testing, graph and model transformation.

Our research group published numerous papers: Read more »

Three papers accepted at MODELS 2014

Three papers by our research group have been accepted at the MODELS 2014 (ACM/IEEE Model Driven Engineering Languages and Systems) scientific conference, the top international forum for model-driven software engineering. Read more »

TEMPUS STEM call: Apache VCL based labs won prize

Our submission for the "STEM - best practices in the service of science, technology and engineering sciences" call of the TEMPUS Public Foundation has been selected as one of the seven winning applications. (The news piece is available only in Hugarian.)

PhD student participation at ISOTDAQ 2014

Our PhD student Ágnes Salánki won the right to participate in ISOTDAQ 2014 - 5th International School of Trigger and Data Acquisition. The school was held between January 28 and February 5 at the Wigner Data Center (Budapest), the "second heart" of the  LHC Worldwide Computing Grid.

Best paper award at the CSMR-WCRE 2014 conference

The program committee of the CSMR-WCRE 2014 Software Evolution Week conference named the common publication of researchers of our group and the Department of Software Engineering,University of Szeged, titled "Anti-pattern detection with model queries: A comparison of approaches". Read more »

index.hu interview with Prof. András Pataricza and Dr. Andy Rindos

In October, our research group hosted a three day Boot Camp of the Apache Virtual Computing Lab (VCL) project with the support of the IBM Cloud Academy. The Boot Camp was held by the VCL experts of North Carolina State University and attended by the representatives of numerous Hungarian higher education institutions.

In conjunction with the event, index.hu, one of the most popular Hungarian news portals interviewed Prof. András Pataricza and Dr. Andy Rindos, co-leader of the IBM Cloud Academy and head of the RTP Center for Advanced Studies. In the interview, they explained the immense potential of "educational clouds" in shaping the future of higher education.

Presentation at EclipseCon Europe 2013

Representing our research group, Dr. István Ráth presented the newest version of EMF-IncQuery, the open source incremental model query engine tailored for large-scale industrial modeling applications at EclipseCon Europe 2013. The talk ("Xcore meets IncQuery: How the New Generation of DSLs Are Made") presented our newest results in the field of query-based language engineering, i.e. incremental graph search techniques embedded into the specification of domain-specific modeling languages. Read more »

Best Paper Award at the IEEE/ACM MODELS 2013 conference

The paper of Oszkár Semeráth, Ákos Horváth and Dániel Varró: Validation of Derived Features and Well-Formedness Constraints in DSLs received the Springer Best Paper Award at the IEEE/ACM MODELS 2013 conference, organized in Miami Beach, Florida, US, selected by the Programme Committee from the total 34 accepted contributions of the "Foundation Track". Read more »

Interview with our former student in the german Eclipse Magazine

The german Eclipse Magazin has published an interview with our former student, Donát Csikós, who is now working at CERN. Among a lot of interesting details about his job, he also mentioned our research group and the EMF-IncQuery project. The online version can be found at the following links: german original, english translation by Google. Read more »

Invited presentation at the IFIP WG10.4 workshop

The summer workshop of the IFIP WG10.4 "Dependable Computing and Fault Tolerance" working group was held at Visegrád between June 27-30, organized by Prof. András Pataricza.  István Majzik received an invitation to the workshop and gave a presentation on "Testing the Robustness and Safety of Context-Aware Autonomous Behaviour". Read more »

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