Publications

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Kádár I, Hegedüs P, Ferenc R, Gyimóthy T.  2016.  A Code Refactoring Dataset and Its Assessment Regarding Software Maintainability. Proceedings of the 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER). 1:599-603.
Kádár I, Hegedüs P, Ferenc R, Gyimóthy T.  2016.  Assessment of the Code Refactoring Dataset Regarding the Maintainability of Methods. Computational Science and Its Applications – ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part IV. :610–624.
Kádár I, Hegedüs P, Ferenc R, Gyimóthy T.  2016.  A Manually Validated Code Refactoring Dataset and Its Assessment Regarding Software Maintainability. Proceedings of the 12th International Conference on Predictive Models and Data Analytics in Software Engineering. :10:1–10:4.
Kádár I, Hegedüs P, Ferenc R.  2014.  Runtime Exception Detection in Java Programs Using Symbolic Execution. Acta Cybernetica. 21:331–352.
Kádár I, Hegedüs P, Ferenc R.  2015.  Adding Constraint Building Mechanisms to a Symbolic Execution Engine Developed for Detecting Runtime Errors. Proceedings of the International Conference on Computational Science and Its Applications – ICCSA 2015. 9159:20-35.
Kálmán M., Havasi F., Gyimóthy T.  2003.  Compacting XML Documents. SPLST. :137-151.
Kalmár Z, Szepesvári C, Lörincz A.  1998.  Module-Based Reinforcement Learning: Experiments with a Real Robot. Machine Learning. 31:55–85.
Kertész-Farkas A, Fülöp Z, Kocsor A.  2003.  Magyar nyelvû szótárak tömör reprezentációja nemdeterminisztikus automatákkal. I. Magyar Számítógépes Nyelvészet Konferencia. :231-237.
Kicsi A, Vidács L, Csuvik V, Horváth F, Beszédes Á, Kocsis F.  2018.  Supporting Product Line Adoption by Combining Syntactic and Textual Feature Extraction. New Opportunities for Software Reuse - 17th International Conference on Software Reuse (ICSR 2018). :1-16.
Kicsi A, Rákóczi M, Vidács L.  2019.  Exploration and Mining of Source Code Level Traceability Links on Stack Overflow. Proceedings of ICSOFT 2019, 14th International Conference on Software Technologies. :339-346.
Kicsi A, Vidács L, Gyimothy T.  2020.  TestRoutes: A Manually Curated Method Level Dataset for Test-to-Code Traceability. Proceedings of the 17th International Conference on Mining Software Repositories, MSR 2020. :593-597.
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).
Kicsi A, Csuvik V, Vidács L, Horváth F, Beszédes Á, Gyimóthy T, Kocsis F.  2019.  Feature Analysis using Information Retrieval, Community Detection and Structural Analysis Methods in Product Line Adoption. Journal of Systems and Software. 155:70-90.
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, Jász J, Lehotai G., Gyimóthy T.  2003.  Interprocedural Static Slicing of Binary Executables. Proceedings of the 3rd IEEE International Workshop on Source Code Analysis and Manipulation (SCAM 2003). :118–127.
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).
Kocsor A, Dombi J, Bálint I.  2001.  An Optimization Based Algorithm for Determining Eigenpairs of Large Real Matrices. ANNALES UNIVERSITATIS SCIENTIARUM BUDAPESTINENSIS DE ROLANDO EÖTVÖS NOMINATAE SECTIO COMPUTATORICA. 20:237-253.
Kocsor A, Tóth L, Paczolay D.  2001.  A Nonlinearized Discriminant Analysis and its Application to Speech Impediment Therapy. Text, Speech and Dialogue : 4th International Conference, TSD 2001, LNAI vol. 2166. :249-257.
Kocsor A, Tóth L, Kuba, Jr. A, Kovács K, Jelasity M, Gyimóthy T, Csirik J.  2000.  A Comparative Study of Several Feature Space Transformation and Learning Methods for Phoneme Classification. International Journal of Speech Technology. 2:263-276.
Kocsor A, Tóth L, Felföldi L.  2001.  Application of Feature Transformation and Learning Methods in Phoneme Classification. Engineering of Intelligent Systems : 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2001, LNAI vol. 2070. :502-512.
Kocsor A, Tóth L, Imre B.  1999.  On the Optimal Parameters of a Sinusoidal Representation of Signals. Acta Cybernetica. 14:315-330.
Kocsor A, Tóth L, Bálint I.  1998.  On the Optimal Parameters of a Sinusoidal Representation of Signals. Conference of PhD students on Computer Sciences, Volume of Extended Abstracts. :61-63.
Kocsor A, Paczolay D.  2003.  Gépi tanulás és alkalmazása a beszédjavítás-terápiában. XIII. Magyar Alkalmazott Nyelvészeti Kongresszus, MANYE, Összefogaló kötete. :91.
Kocsor A, A., Jr. K, László T, Márk J, László F, Tibor G, János C.  1999.  A Segment-Based Statistical Speech Recognition System for Isolated/Continuous Number Recognition. Proceedings of the 6th Fenno-Ugric Symposium on Software Technology (FUSST'99). :201-211.

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