Publications

Found 270 results
[ Author(Desc)] Keyword Title Type Year
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U
Ujhelyi Z, Horváth Á, Varró D, Csiszár NIstván, Szőke G, Vidács L, Ferenc R.  2014.  Anti-pattern Detection with Model Queries: A Comparison of Approaches. Proceedings of CSMR-WCRE 2014 Software Evolution Week (European Conference on Software Maintenance and Reengineering and Working Conference on Reverse Engineering). :293-302.
Ujhelyi Z, Szőke G, Horváth Á, Csiszár NIstván, Vidács L, Varró D, Ferenc R.  2015.  Performance comparison of query-based techniques for anti-pattern detection. Information and Software Technology. 65:147-165.
V
Váradi T, Simon E, Sass B, Mittelholcz I, Novák A, Indig B, Farkas R, Vincze V.  2018.  E-magyar -- A Digital Language Processing System. Proceedings of the Eleventh International Conference on Language Resources and Evaluation. :1307-1312..
Vicsi K, Tóth L, Kocsor A, Gordos G, Csirik J.  2002.  MTBA - magyar nyelvû telefonbeszéd-adatbázis. Híradástechnika. LVII:35-39.
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, Horváth F, Mihalicza J, 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, 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, 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). :31-36.
Vidács L, Beszédes Á, Gyimóthy T.  2009.  Combining preprocessor slicing with C/C++ language slicing. Science of Computer Programming. 74:399-413.
Vidács L.  2009.  Software Maintenance Methods for Preprocessed Languages.
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, Dévai R, Ferenc R, Gyimóthy T.  2012.  Developer Support for Understanding Preprocessor Macro Expansions. Proceedings of International Conference on Advanced Software Engineering & Its Applications (ASEA 2012). 340:121-130.
Vidács L, Horváth F, Mihalicza J, 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, Beszédes Á, Tengeri D, Siket I, Gyimóthy T.  2014.  Test Suite Reduction for Fault Detection and Localization: a Combined Approach. Proceedings of CSMR-WCRE 2014 Software Evolution Week (European Conference on Software Maintenance and Reengineering and Working Conference on Reverse Engineering). :204-213.
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.  2009.  Software Maintenance Methods for Preprocessed Languages.
Vincze V, Farkas R, Szántó Z, Simkó KIlona.  2017.  Universal Dependencies and Morphology for Hungarian - and on the Price of Universality. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, {EACL} 2017, Valencia, Spain, April 3-7, 2017, Volume 1: Long Papers. :356–365.
Vinkó T, Ratz D.  2004.  A Multidimensional Branch-and-Prune Method for Interval Global Optimization. Numerical Algorithms. 37:391–399.
Z
Zsolt S, Alex S-N, István NT, Ádám C-K, Vincze V, Farkas R.  2018.  Relevance Segmentation of Long Documents. XIV. Magyar Számítógépes Nyelvészeti Konferencia. :405-412.
Zvada S, Gyimóthy T.  2001.  Using decision trees to infer semantic functions of attribute grammars. Acta Cybernetica. 15:279–304.

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