Publications

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Author Title Type [ Year(Desc)]
Filters: Author is Péter Hegedűs  [Clear All Filters]
2014
Bakota Tibor, Hegedűs P, Siket István, Ladányi G, Ferenc R.  2014.  QualityGate SourceAudit: a Tool for Assessing the Technical Quality of Software. 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). :440–445.
Kádár I, Hegedűs P, Ferenc R.  2014.  Runtime Exception Detection in Java Programs Using Symbolic Execution. Acta Cybernetica. 21:331–352.
Ferenc R, Hegedűs P, Gyimóthy T.  2014.  Software Product Quality Models. Evolving Software Systems. :65–100.
2015
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.
Hegedűs P.  2015.  Advances in Software Product Quality Measurement and its Applications in Software Evolution.
Faragó C, Hegedűs P, Ferenc R.  2015.  Code Ownership: Impact on Maintainability. Proceedings of the 15th International Conference on Computational Science and Its Applications (ICCSA 2015). 9159:3–19.
Faragó C, Hegedűs P, Ferenc R.  2015.  Cumulative Code Churn: Impact on Maintainability. Proceedings of the 15th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2015). :141–150.
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.
Faragó C, Hegedűs P, Ladányi G, Ferenc R.  2015.  Impact of Version History Metrics on Maintainability. Proceedings of the 8th International Conference on Advanced Software Engineering & Its Applications (ASEA 2015). :30–35.
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.
2019
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.