Publications

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[Anonymous].  2016.  10th Jubilee Conference of PhD Students in Computer Science (CSCS 2016).
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[Anonymous].  2014.  9th Conference of PhD Students in Computer Science (CSCS 2014).
A
Hamann L, Vidács L, Gogolla M, Kuhlmann M.  2012.  Abstract Runtime Monitoring with USE. Proceedings of the16th European Conference on Software Maintenance and Reengineering (CSMR'12). :549–552.
Ferenc R.  1997.  Adatfolyam-diagramok globális elemzése. Információs rendszer tervezése SSADM-mel.
Kádár I, Hegedűs P, Ferenc R.  2015.  Adding Constraint Building Mechanisms to a Symbolic Execution Engine Developed for Detecting Runtime Errors. Proceedings of the 15th International Conference on Computational Science and Its Applications (ICCSA 2015). 9159:20–35.
Dombi JD, Kertész Attila.  2011.  Advanced Scheduling Techniques with the Pliant System for High-Level Grid Brokering. Agents and Artificial Intelligence. 129:173-185.
Dombi JD, Kertész Attila.  2011.  Advanced Scheduling Techniques with the Pliant System for High-Level Grid Brokering. Agents and Artificial Intelligence. 129:173-185.
Bánhalmi A, Borbás J, Fidrich M, Bilicki V, Gingl Z, Rudas L.  2018.  Analysis of a Pulse Rate Variability Measurement Using a Smartphone Camera. Journal of Healthcare Engineering. vol. 2018:15pages.
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 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). :293–302.
Kádár I, Hegedűs P, Ferenc R, Gyimóthy T.  2016.  Assessment of the Code Refactoring Dataset Regarding the Maintainability of Methods. Proceedings of the 16th International Conference on Computational Science and Its Applications (ICCSA 2016). :610–624.
Alexin Z, Gyimóthy T, Horvath T, Fabricz K.  1990.  Attribute Grammar Specification for a natural-language understanding interface. Lecture Notes in Computer Science. 461:313-326.
Ferenc R, Gyimesi P, Gyimesi G, Tóth ZGábor, Gyimóthy T.  2020.  An automatically created novel bug dataset and its validation in bug prediction. JOURNAL OF SYSTEMS AND SOFTWARE. 169
Ferenc R, Beszédes Á.  2003.  Az Objektumvezérelt Szoftverek Elemzése.. VIII. Országos (Centenáriumi) Neumann Kongresszus Elõadások és Összefoglalók. :463-474.
B
Fülöp LJ, Hegedűs P, Ferenc R.  2008.  Befriend - a Benchmark for Evaluating Reverse Engineering Tools. Periodica Polytechnica - Electrical Engineering. 52:153-162.
Fülöp LJ, Hegedűs P, Ferenc R.  2008.  Befriend - a Benchmark for Evaluating Reverse Engineering Tools. Periodica Polytechnica - Electrical Engineering. 52:153-162.
Ferenc R.  2010.  Bug Forecast: A Method for Automatic Bug Prediction. Advances in Software Engineering. 117:283-295.
Ferenc R.  2010.  Bug Forecast: A Method for Automatic Bug Prediction. Advances in Software Engineering. 117:283-295.
Gyimesi P, la Vancsics B, Stocco A, Mazinanian D, Beszédes Á, Ferenc R, Mesbah A.  2020.  BugsJS: a Benchmark and Taxonomy of JavaScript Bugs. Software Testing, Verification and Reliability. n/a:e1751.
Gyimesi P, Vancsics B, Stocco A, Mazinanian D, Beszédes Á, Ferenc R, Mesbah A.  2019.  BugsJS: a Benchmark of JavaScript Bugs. 2019 12th IEEE Conference on Software Testing, Validation and Verification (ICST). :90-101.
Szőke G, Antal G, Nagy C, Ferenc R, Gyimóthy T.  2014.  Bulk Fixing Coding Issues and Its Effects on Software Quality: Is It Worth Refactoring? Proceedings of the 14th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2014). :95–104.
C
Ferenc R, Magyar F, Beszédes Á, Kiss Á, Tarkiainen M.  2001.  Columbus – Tool for Reverse Engineering Large Object Oriented Software Systems. Proceedings of the Seventh Symposium on Programming Languages and Software Tools (SPLST 2001). :16-27.
Siket István, Ferenc R.  2004.  Calculating Metrics from Large C++ Programs. Proceedings of the 6th International Conference on Applied Informatics (ICAI2004). :319-328.
Szőke G, Nagy C, Ferenc R, Gyimóthy T.  2014.  A Case Study of Refactoring Large-Scale Industrial Systems to Efficiently Improve Source Code Quality. Proceedings of the 14th International Conference on Computational Science and Its Applications (ICCSA 2014). 8583:524–540.
Ferenc R, Hegedűs P, Gyimesi P, Antal G, Bán D, Gyimothy T.  2019.  Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions. 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering. :8-14.
Gyimesi P, Gyimesi G, Tóth Z, Ferenc R.  2015.  Characterization of Source Code Defects by Data Mining Conducted on GitHub. Proceedings of the 15th International Conference on Computational Science and Its Applications (ICCSA 2015). 9159:47–62.