Publications

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Author [ Title(Desc)] Type Year
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B
Ferenc R.  2010.  Bug Forecast: A Method for Automatic Bug Prediction. Advances in Software Engineering. 117:283-295.
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.
Bilicki V, Dombi JD.  2006.  Building a framework for the consistency management of the distributed applications. Proceedings of the 4th International Conference on .NET Technologies. :55-63.
Vidács L.  2004.  Building the Instances of Columbus Schema for C/C++ Preprocessing. Volume of Extended Abstracts of 4th Conference of PhD Students in Computer Science (CSCS 2004). :125.
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.
Kacsuk P, Kertész Attila, Kiss T.  2008.  Can We Connect Existing Production Grids into a World Wide Grid? High Performance Computing for Computational Science - VECPAR 2008. :109–122.
Kertész Attila, Otvos F., Kacsuk P..  2014.  A case study for biochemical application porting in european grids and clouds. Concurrency Computation Practice and Experience. 26:1730-1743.
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.
Tóth G, Nagy C, Jász Judit, Beszédes Á, Fülöp LJ.  2010.  CIASYS – Change Impact Analysis at System Level. Proceedings of the 14th European Conference on Software Maintenance and Reengineering (CSMR'10). :203-206.
Alexin Z.  2008.  Civil társadalombiztosítást!. Népszabadság.
Kókai G, Alexin Z, Gyimóthy T.  1996.  Classifying ECG Waveforms in Prolog. :173-199.
Bakota Tibor, Ferenc R, Gyimóthy T.  2007.  Clone Smells in Software Evolution. ICSM. :24-33.
Kecskeméti G, Németh Z, Kertész Attila, Ranjan R.  2019.  Cloud workload prediction based on workflow execution time discrepancies. Cluster Computing. vol 22(3):737-755.
Kecskemeti G, Kertész Attila, Nemeth Z..  2017.  Cloud workload prediction by means of simulations. ACM International Conference on Computing Frontiers 2017, CF 2017. :279-282.
Hodován R, Kiss Á, Gyimóthy T.  2017.  Coarse Hierarchical Delta Debugging. Proceedings of the 33rd IEEE International Conference on Software Maintenance and Evolution (ICSME 2017). :194–203.
Harsu M, Bakota Tibor, Siket István, Koskimies K, Systa T.  2009.  Code Clones: Good, Bad, or Ugly? 11th Symposium on Programming Languages and Software Tools SPLST'09. :31-44.
Harsu M, Bakota Tibor, Siket István, Koskimies K, Systa T.  2012.  Code Clones: Good, Bad, or Ugly? Nordic Journal of Computing. 15:3–17.
Horváth F, Gergely Tamás, Beszédes Á, Tengeri D, Balogh G, Gyimothy T.  2019.  Code Coverage Differences of Java Bytecode and Source Code. Software Quality Journal. 27(1):79-123.
Horváth F, Gergely Tamás, Beszédes Á, Tengeri D, Balogh G, Gyimóthy T.  2017.  Code Coverage Differences of Java Bytecode and Source Code Instrumentation Tools. Software Quality Journal.
Bognár S, Gergely Tamás, Rácz R, Beszédes Á, Marinkovic V.  2013.  Code Coverage Measurement Framework for Android Devices. Proceedings of the 13th Symposium on Programming Languages and Software Tools, SPLST'13. :46–60.
Horváth F, Bognár S, Gergely Tamás, Rácz R, Beszédes Á, Marinković V.  2014.  Code Coverage Measurement Framework for Android Devices. Acta Cybernetica. 21:439-458.