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2017. Maintainability of Source Code and its Connection to Version Control History Metrics.
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Szőke G, Antal G, 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.
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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.
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Dévai R, Jász Judit, Nagy C, Ferenc R.
2014. Designing and Implementing Control Flow Graph for {M}agic 4th Generation Language. Acta Cybernetica. 21:419–437.
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Gyimesi G, Bán D, Siket István, Ferenc R, Brugnoni S, Corbat T, Sommerlad P, Suter T.
2016. Enforcing Techniques and Transformation of {C/C++} Source Code to Heterogeneous Hardware. Proceedings of the 16th IEEE International Conference on Scalable Computing and Communication (ScalCom 2016). :1173–1180.
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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.
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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.
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Szőke G, Nagy C, Ferenc R, Gyimóthy T.
2016. Designing and Developing Automated Refactoring Transformations: An Experience Report. Proceedings of the 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016). :693–697.
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Szőke G, Nagy C, Fülöp L J, Ferenc R, Gyimóthy T.
2015. {FaultBuster}: An Automatic Code Smell Refactoring Toolset. Proceedings of the 15th International Working Conference on Source Code Analysis and Manipulation (SCAM 2015). :253–258.
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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.
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