Publications

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Author Title Type [ Year(Desc)]
Filters: Keyword is Software maintainability  [Clear All Filters]
2014
Faragó C, Hegedűs P, Végh ZÁdám, Ferenc R.  2014.  Connection Between Version Control Operations and Quality Change of the Source Code. Acta Cybernetica. 21:585–607.
Ladányi G, Hegedűs P, Ferenc R, Siket István, Gyimóthy T.  2014.  The Connection of the Bug Density and Maintainability of Classes. 8th International Workshop on Software Quality and Maintainability.
Faragó C, Hegedűs P, Ferenc R.  2014.  The Impact of Version Control Operations on the Quality Change of the Source Code. Proceedings of the 14th International Conference on Computational Science and Its Applications (ICCSA 2014). 8583:353–369.
Bán D, Ferenc R.  2014.  Recognizing Antipatterns and Analyzing Their Effects on Software Maintainability. Proceedings of the 14th International Conference on Computational Science and Its Applications (ICCSA 2014). 8583:337–352.
2015
Szőke G, Nagy C, Hegedűs 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 2015). :429–438.
Ladányi G, Tóth Z, Ferenc R, Keresztesi T.  2015.  A Software Quality Model for RPG. Proceedings of the 22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2015). :91–100.
2016
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.
Kádár I, Hegedűs 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 2016). :599–603.
Kádár I, Hegedűs P, Ferenc R, Gyimóthy T.  2016.  A Manually Validated Code Refactoring Dataset and Its Assessment Regarding Software Maintainability. Proceedings of the 12th ACM International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2016). :10:1–10:4.