Found 86 results
[ Author(Desc)] Keyword Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
Kicsi A, Csuvik V, Vidács L, Beszédes Á, Gyimóthy T.  2018.  Feature Level Complexity and Coupling Analysis in 4GL Systems. Proceedings of the 18th International Conference on Computational Science and Its Applications (ICCSA 2018).
Kicsi A, Tóth L, Vidács L.  2018.  Exploring the Benefits of Utilizing Conceptual Information in Test-to-Code Traceability. Proceedings of the IEEE/ACM 6th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2018 @ ICSE).
Kiss Á, Hodován R, Gyimóthy T.  2018.  HDDr: A Recursive Variant of the Hierarchical Delta Debugging Algorithm. Proceedings of the 9th Workshop on Automating Test Case Design, Selection and Evaluation (A-TEST 2018).
Ladányi G, Hegedüs P, Ferenc R, Siket I, Gyimóthy T.  2014.  The Connection of the Bug Density and Maintainability of Classes. 8th International Workshop on Software Quality and Maintainability.
[Anonymous].  2018.  Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop.
Michael L., Kakas A., Miller R., Turán G.  2015.  Cognitive programming. 3rd International Workshop on Artificial Intelligence and Cognition. :3-18.
Nagy C, Vidács L, Ferenc R, Gyimóthy T, Kocsis F, Kovács I.  2011.  Solutions for Reverse Engineering 4GL Applications, Recovering the Design of a Logistical Wholesale System. Proceedings of CSMR 2011 (15th European Conference on Software Maintenance and Reengineering). :343-346.
Nagy C, Vidács L, Ferenc R, Gyimóthy T, Kocsis F, Kovács I.  2011.  Complexity Measures in 4GL Environment. Computational Science and Its Applications - ICCSA 2011, Lecture Notes in Computer Science. 6786:293-309.
Nagy C, Vidács L, Ferenc R, Gyimóthy T, Kocsis F, Kovács I.  2010.  MAGISTER: Quality assurance of Magic applications for software developers and end users. Software Maintenance (ICSM), 2010 IEEE International Conference on. :1-6.
Stellan O, H SRobert, Turán G, Aaron U.  2017.  Measuring an artificial intelligence system’s performance on a Verbal IQ test for young children. Journal Of Experimental & Theoretical Artificial Intelligence 29. :679-693.
Szőke G, Nagy C, Hegedüs P, Ferenc R, Gyimóthy T.  2015.  Do Automatic Refactorings Improve Maintainability? An Industrial Case Study Proceedings of the 31st International Conference on Software Maintenance and Evolution – ICSME'15. :429–438.
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.
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, 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.  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, 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.
Tóth L, Vidács L.  2019.  Study of The Performance of Various Classifiers in Labeling Non-Functional Requirements. Information Technology and Control. 48:1-16.
Turán G, J Y.  2015.  Characterizability in belief revision. 24th International Joint Conference on Artificial Intelligence. :3236-3242.
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.
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..
Vidács L.  2009.  Software Maintenance Methods for Preprocessed Languages.
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.