Publications

Found 86 results
[ Author(Asc)] Keyword Title Type Year
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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.
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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.
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, 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, Gyimóthy T.  2009.  Combining preprocessor slicing with C/C++ language slicing. Science of Computer Programming. 74:399-413.
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, 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.  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, 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.  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.  2009.  Software Maintenance Methods for Preprocessed Languages.
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.
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..
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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.
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Turán G, J Y.  2015.  Characterizability in belief revision. 24th International Joint Conference on Artificial Intelligence. :3236-3242.
Tóth L, Vidács L.  2018.  Study of Various Classifiers for Identification and Classification of Non-Functional Requirements. Proceedings of the 18th International Conference on Computational Science and Its Applications (ICCSA 2018). 10964:492-503.
Tóth L, Nagy B, Janthó D, Vidács L, Gyimóthy T.  2019.  Towards an Accurate Prediction of the Question Quality at Stack Overflow Using a Deep-Learning-Based NLP Approach. Proceedings of ICSOFT 2019, 14th International Conference on Software Technologies. :631-639.
Tóth G, Fülöp LJenő, Vidács L, Beszédes Á, Demeter H, Farkas L, Gyimóthy T.  2010.  Complex event processing synergies with predictive analytics.
Tóth L, Vidács L.  2019.  Study of The Performance of Various Classifiers in Labeling Non-Functional Requirements. Information Technology and Control. 48:1-16.
Tóth Z, Vidács L, Ferenc R.  2015.  Comparison of Static Analysis Tools for Quality Measurement of RPG Programs. Computational Science and Its Applications – ICCSA 2015. 9159:177-192.
Tóth L, Hoffmann I, Gosztolya G, Vincze V, Szatlóczki G, Bánréti Z, Pákáski M, Kálmán J.  2018.  A Speech Recognition-based Solution for the Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech. Current Alzheimer Research. 15:130–138.
Tengeri D, Vidács L, Beszédes Á, Jász J, Balogh G, Vancsics B, Gyimóthy T.  2016.  Relating Code Coverage, Mutation Score and Test Suite Reducibility to Defect Density. Proceedings of the 9th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW'16); The 11th International Workshop on Mutation Analysis (MUTATION'16). :174-179.
Tengeri D, Beszédes Á, Gergely T, Vidács L, Havas D, Gyimóthy T.  2015.  Beyond Code Coverage - an Approach for Test Suite Assessment and Improvement. Software Testing, Verification and Validation Workshops (ICSTW), TAIC-PART 2015, IEEE Eighth International Conference on. :1-7.

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