Publications

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Vincze V, Szauter D, Almási A, Móra G., Alexin Z, Csirik J.  2009.  A Szeged Treebank függőségi fa formátumban. VI. Magyar Számítógépes Nyelvészeti Konferencia: MSZNY 2009. :127-138.
Vincze V, Szauter D, Almási A, Móra G., Alexin Z, Csirik J.  2010.  Hungarian Dependency Treebank. Proceedings of the Seventh Conference on International Language Resources and Evaluation (LREC'10). :1855-1862.
Vidács L.  2006.  Model transformations on the Preprocessor Metamodel - Graph Transformation approach. Volume of Extended Abstracts of 5th Conference of PhD Students in Computer Science (CSCS 2006). :102-103.
Vidács L, Pinzger M.  2018.  Co-evolution Analysis of Production and Test Code by Learning Association Rules of Changes. 2018 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2018). :1-7.
Vidács L, Dévai R., Ferenc R, Gyimóthy T.  2012.  Developer Support for Understanding Preprocessor Macro Expansions. Communications in Computer and Information Science. 340:121–130.
Vidács L, Gogolla M, Ferenc R.  2006.  From C++ Refactorings to Graph Transformations. Electronic Communications of the EASST and Proceedings of the 3rd Workshop on Software Evolution through Transformations (Setra 2006). :127-141.
Vidács L, Horváth F, Tengeri D, Beszédes Á.  2016.  Assessing the Test Suite of a Large System Based on Code Coverage, Efficiency and Uniqueness. Proceedings of the IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering, the First International Workshop on Validating Software Tests (VST'16). :13-16.
Vidács L.  2009.  Software Maintenance Methods for Preprocessed Languages.
Vidács L, Beszédes Á.  2003.  Opening Up The C/C++ Preprocessor Black Box. Proceedings of the Eight Symposium on Programming Languages and Software Tools (SPLST'03). :45-57.
Vidács L, Beszédes Á, Ferenc R.  2007.  Macro Impact Analysis Using Macro Slicing. Proceedings of the Second International Conference on Software and Data Technologies (ICSOFT'07). :230-235.
Vidács L, Horváth F, Mihalicza J, la Vancsics B, Beszédes Á.  2015.  Supporting Software Product Line Testing by Optimizing Code Configuration Coverage. Proceedings of the 8th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW'15); 10th Testing: Academic and Industrial Conference - Practice and Research Techniques (TAIC PART'15). :1-7.
Vidács L.  2009.  Refactoring of C/C++ Preprocessor Constructs at the Model Level. Proceedings of ICSOFT 2009, 4th International Conference on Software and Data Technologies. :232-237.
Vidács L, Beszédes Á, Ferenc R.  2004.  Columbus Schema for C/C++ Preprocessing. Proceedings of the 8th European Conference on Software Maintenance and Reengineering (CSMR 2004). :75-84.
Vidács L, Jász Judit, Beszédes Á, Gyimóthy T.  2008.  Combining Preprocessor Slicing with C/C++ Language Slicing. Proceedings of the 16th IEEE International Conference on Program Comprehension (ICPC'08). :163-171.
Vidács L, Beszédes Á, Tengeri D, Siket István, Gyimóthy T.  2014.  Test Suite Reduction for Fault Detection and Localization: A Combined Approach. Proceedings of the CSMR-WCRE 2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE'14). :204-213.
Vidács L.  2004.  Building the Instances of Columbus Schema for C/C++ Preprocessing. Volume of Extended Abstracts of 4th Conference of PhD Students in Computer Science (CSCS 2004). :125.
Vidács L, Beszédes Á, Gyimóthy T.  2009.  Combining preprocessor slicing with C/C++ language slicing. Science of Computer Programming. 74:399-413.
Végh ÁZ, Szűcs V, Kasza M, Bilicki V.  2011.  Issues of Persistence Service Integration in Enterprise Systems. Proceedings of PATTERNS 2011, The Third International Conferences on Pervasive Patterns and Applications. :96-101.
Varadi S., G. Varkonyi G, Kertesz A..  2020.  Legal Issues of Social IoT Services: The Effects of Using Clouds, Fogs and AI. Studies in Computational Intelligence. 846:123-138.
Varadi S, Kertész Attila, Michael P.  2012.  The Necessity of Legally Compliant Data Management in European Cloud Architectures. Computer Law and Security Review. 28:577–586.