Publications

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Journal Article
Hegedűs P, Bán D, Ferenc R, Gyimóthy T.  2012.  Myth or Reality? Analyzing the Effect of Design Patterns on Software Maintainability Communications in Computer and Information Science. 340:138–145.
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.
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.
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.
Capilla R, Duenas JC, Ferenc R.  2013.  A retrospective view of software maintenance and reengineering research – a selection of papers from European Conference on Software Maintenance and Reengineering 2010. JOURNAL OF SOFTWARE MAINTENANCE AND EVOLUTION-RESEARCH AND PRACTICE. 25:569–574.
Capilla R, Duenas JC, Ferenc R.  2011.  A retrospective view of software maintenance and reengineering research a selection of papers from European Conference on Software Maintenance and Reengineering 2010. Journal of Software Maintenance and Evolution: Research and Practice.
Kádár I, Hegedűs P, Ferenc R.  2014.  Runtime Exception Detection in Java Programs Using Symbolic Execution. Acta Cybernetica. 21:331–352.
Beszédes Á, Ferenc R, Gyimóthy T, Dolenc A, Karsisto K.  2003.  Survey of Code-Size Reduction Methods. ACM Computing Surveys. 35:223-267.
Hegedűs P, Ladányi G, Siket István, Ferenc R.  2012.  Towards Building Method Level Maintainability Models Based on Expert Evaluations. Communications in Computer and Information Science. 340:146–154.
Poshyvanyk D, Marcus A, Ferenc R, Gyimóthy T.  2009.  Using information retrieval based coupling measures for impact analysis. Empirical Softw. Engg.. 14:5–32.
Marcus A, Poshyvanyk D, Ferenc R.  2008.  Using the Conceptual Cohesion of Classes for Fault Prediction in Object-Oriented Systems. IEEE Trans. Softw. Eng.. 34:287–300.