Publications

Found 82 results
Author Keyword Title Type [ Year(Asc)]
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2019
Ferenc R, Hegedűs P, Gyimesi P, Antal G, Bán D, Gyimóthy T.  2019.  Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions. Proceedings of the 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering. :8–14.
Ban D, Ferenc R, Siket I, Kiss A, Gyimothy T.  2019.  Prediction models for performance, power, and energy efficiency of software executed on heterogeneous hardware. JOURNAL OF SUPERCOMPUTING. 75:4001-4025.
2018
Faragó C, Hegedüs P.  2018.  Developer Focus: Lack of Impact on Maintainability. Proceedings of the International Conference on Computational Science and Its Applications – ICCSA 2018. 10964:391–402.
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..
Hegedüs P, Kádár I, Ferenc R, Gyimóthy T.  2018.  Empirical evaluation of software maintainability based on a manually validated refactoring dataset. Information and Software Technology. 95:313-327.
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.
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.
Antal G, Hegedüs P, Tóth Z, Ferenc R, Gyimóthy T.  2018.  Static JavaScript Call Graphs: A Comparative Study. SCAM. :177-186.
2017
Gábor S, Gábor A, Nagy C, Ferenc R, Gyimóthy T.  2017.  Empirical Study on Refactoring Large-scale Industrial Systems and Its Effects on Maintainability. Journal of Systems and Software. 129:107–126.
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.
2016
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 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.  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.
2015
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.
Faragó C, Hegedüs P, Ferenc R.  2015.  Code Ownership: Impact on Maintainability. Proceedings of the International Conference on Computational Science and Its Applications – ICCSA 2015. 9159:3-19.
Faragó C, Hegedüs P, Ferenc R.  2015.  Code Ownership: Impact on Maintainability. Proceedings of the International Conference on Computational Science and Its Applications – ICCSA 2015. 9159:3-19.
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.
Faragó C, Hegedüs P, Ferenc R.  2015.  Cumulative Code Churn: Impact on Maintainability. Proceedings of the 15th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM). :141-150.
Faragó C, Hegedüs P, Ferenc R.  2015.  Cumulative Code Churn: Impact on Maintainability. Proceedings of the 15th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM). :141-150.
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.
Faragó C, Hegedüs P, Ladányi G, Ferenc R.  2015.  Impact of Version History Metrics on Maintainability. Proceedings of the 2015 International Conference on Advanced Software Engineering & Its Applications. :30–35.
Faragó C, Hegedüs P, Ladányi G, Ferenc R.  2015.  Impact of Version History Metrics on Maintainability. Proceedings of the 2015 International Conference on Advanced Software Engineering & Its Applications. :30–35.
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.
2014
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.

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