Publications

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R
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.
Holló C., Imreh B, Imreh C..  2009.  Reduction techniques for the PNS problems: a novel technique and a review. Optimization and Engineering. 10:351-361.
Ferenc R, Gustafsson J, Müller L, Paakki J.  2001.  Recognizing Design Patterns in C++ programs with the integration of Columbus and Maisa. Proceedings of the 7th Symposium on Programming Languages and Software Tools (SPLST 2001). :58-70.
Ferenc R, Gustafsson J, Müller L, Paakki J.  2002.  Recognizing Design Patterns in C++ programs with the integration of Columbus and Maisa. Acta Cybernetica. 15:669-682.
Bán D, Ferenc R.  2014.  Recognizing Antipatterns and Analyzing Their Effects on Software Maintainability. Proceedings of the 14th International Conference on Computational Science and Its Applications (ICCSA 2014). 8583:337–352.
Q
Bakota Tibor, Hegedűs P, Siket István, Ladányi G, Ferenc R.  2014.  QualityGate SourceAudit: a Tool for Assessing the Technical Quality of Software. Proceedings of the 2014 Software Evolution Week (Merger of the 18th IEEE European Conference on Software Maintenance and Reengineering & 21st IEEE Working Conference on Reverse Engineering – CSMR-WCRE 2014). :440–445.
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Ferenc R, Tóth ZGábor, Ladányi G, Siket I, Gyimóthy T.  2020.  A public unified bug dataset for java and its assessment regarding metrics and bug prediction. SOFTWARE QUALITY JOURNAL. 28:1447-1506.
Tóth Z, Gyimesi P, Ferenc R.  2016.  A Public Bug Database of GitHub Projects and Its Application in Bug Prediction. Proceedings of the 16th International Conference on Computational Science and Its Applications (ICCSA 2016). :625–638.
Alexin Z.  2012.  A pszichiátriai betegek adatvédelme. Pszichiátriai gondozási kézikönyv. :185–219.
Németh T, Sárkány R, Tornai H, Wiandt Z, Németh-Szabados KViktória, Holló C.  2016.  A programozás oktatásának motivációi a közoktatásban. INFODIDACT 2016 Informatika Szakmódszertani Konferencia elektronikus kiadványa (DVD). :1–7.
Alexin Z, Csirik J, Gyimóthy T.  2004.  Programcsomag információkinyerési kutatások támogatására. II. Magyar Számítógépes Nyelvészeti Konferencia. :41-49.
Kiss Á.  2009.  Program Code Analysis and Manipulation.
Toczki J, Gyimóthy T, Horváth T, Kocsis F.  1987.  PROF-LP user's guide.
Holló C..  2002.  A Procedure Based on Automaton Theory Approach for Solving Modified PNS Problems. Pure Mathematics and Applications. 13:159-169.
Nagy A, Nyúl L, Kuba A, Alexin Z, Almási L.  1997.  Problems and Solutions: One Year Experience with SZOTE-PACS. Proceedings of EuroPACS '97. :39-42.
Hegedűs P.  2012.  A Probabilistic Software Quality Model for C# – an Industrial Case Study.
Bakota Tibor, Hegedűs P, Körtvélyesi P, Ferenc R, Gyimóthy T.  2011.  A probabilistic software quality model. Software Maintenance (ICSM), 2011 27th IEEE International Conference on. :243-252.
Hegedűs P.  2013.  A probabilistic quality model for c# - an industrial case study. ACTA CYBERNETICA - SZEGED. 21:135–147.
Baniata H, Kertész Attila.  2022.  PriFoB: A Privacy-aware Fog-enhanced Blockchain-based system for Global Accreditation and Credential Verification. Journal of Network and Computer Applications. 205
Szendi I, Bagi A, Szalóki S, Hallgató E, Domján N, Kanka A, Gál BIldikó, Karcher É, Pásztor H, Jenei T et al..  2022.  Premorbid screening of healthy students may carry latent liability for schizophrenia or bipolar affective disorder with neurocognitive and neurophenomenological methods. EUROPEAN PSYCHIATRY. 65:S683-S683.
Fülöp LJ, Tóth G, Vidács L, Beszédes Á, Demeter H, Farkas L, Gyimóthy T, Balogh G.  2012.  Predictive Complex Event Processing. Proceedings of the 5th Balkan Conference in Informatics. :26–31.
Beszédes Á, Végh ÁZ, Balogh G.  2012.  Prediction of Software Development Modification Effort Enhanced by a Genetic Algorithm.
Bán D, Ferenc R, Siket I, Kiss Á, Gyimóthy T.  2019.  Prediction models for performance, power, and energy efficiency of software executed on heterogeneous hardware. JOURNAL OF SUPERCOMPUTING. 75:4001-4025.
Bán D, Ferenc R, Siket I, Kiss Á, Gyimóthy T.  2018.  Prediction Models for Performance, Power, and Energy Efficiency of Software Executed on Heterogeneous Hardware. Journal of Supercomputing. :25.
Bán D, Ferenc R, Siket István, Kiss Á.  2015.  Prediction Models for Performance, Power, and Energy Efficiency of Software Executed on Heterogeneous Hardware. Proceedings of the 13th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2015). :178–183.