Publications

Found 24 results
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Filters: Author is Hegedűs, Péter  [Clear All Filters]
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Hegedűs P.  2019.  Towards Analyzing the Complexity Landscape of Solidity Based Ethereum Smart Contracts. Technologies. 7:6.
Hegedüs P.  2018.  Towards Analyzing the Complexity Landscape of Solidity Based Ethereum Smart Contracts. Proceedings of the 1st International Workshop on Emerging Trends in Software Engineering for Blockchain. :35–39.
Q
Bakota T, Hegedüs P, Siket I, Ladányi G, Ferenc R.  2014.  QualityGate SourceAudit: a Tool for Assessing the Technical Quality of Software. Proceedings of the CSMR-WCRE 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.
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Kádár I, Hegedüs P, Ferenc R, Gyimóthy T.  2016.  A Manually Validated Code Refactoring Dataset and Its Assessment Regarding Software Maintainability. Proceedings of the 12th International Conference on Predictive Models and Data Analytics in Software Engineering. :10:1–10:4.
I
Faragó C, Hegedüs P, Ladányi G, Ferenc R.  2015.  Impact of Version History Metrics on Maintainability. Proceedings of the 2015 International Conference on Advanced Software Engineering & Its Applications. :30–35.
Faragó C, Hegedüs P, Ferenc R.  2014.  The Impact of Version Control Operations on the Quality Change of the Source Code. Proceedings of the International Conference on Computational Science and Its Applications–ICCSA 2014. :353–369.
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Antal G, Szarka A, Hegedüs P.  2018.  A Hands-on OpenStack Code Refactoring Experience Report. Proceedings of the International Conference on Computational Science and Its Applications – ICCSA 2018. 10964:464–480.
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Antal G, Keleti M, Hegedűs P.  2020.  Exploring the Security Awareness of the Python and JavaScript Open Source Communities. Proceedings of the 17th International Conference on Mining Software Repositories (MSR). :16–20.
Hegedüs P, Kádár I, Ferenc R, Gyimóthy T.  2018.  Empirical evaluation of software maintainability based on a manually validated refactoring dataset. Information and Software Technology. 95:313-327.
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Szőke G, Nagy C, Hegedüs 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'15. :429–438.
Faragó C, Hegedüs P.  2018.  Developer Focus: Lack of Impact on Maintainability. Proceedings of the International Conference on Computational Science and Its Applications – ICCSA 2018. 10964:391–402.
Ferenc R, Viszkok T, Aladics T, Jász J, Hegedűs P.  2020.  Deep-water framework: The Swiss army knife of humans working with machine learning models. SoftwareX. 12:100551.
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Faragó C, Hegedüs 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). :141-150.
Ladányi G, Hegedüs P, Ferenc R, Siket I, Gyimóthy T.  2014.  The Connection of the Bug Density and Maintainability of Classes. 8th International Workshop on Software Quality and Maintainability.
Faragó C, Hegedüs P, Végh ÁZoltán, Ferenc R.  2014.  Connection Between Version Control Operations and Quality Change of the Source Code. {Acta Cybernetica}. 21:585–607.
Kádár I, Hegedüs 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). 1:599-603.
Faragó C, Hegedüs P, Ferenc R.  2015.  Code Ownership: Impact on Maintainability. Proceedings of the International Conference on Computational Science and Its Applications – ICCSA 2015. 9159:3-19.
Ferenc R, Hegedűs P, Gyimesi P, Antal G, Bán D, Gyimóthy T.  2019.  Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions. Proceedings of the 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering. :8–14.
A
Kádár I, Hegedüs P, Ferenc R, Gyimóthy T.  2016.  Assessment of the Code Refactoring Dataset Regarding the Maintainability of Methods. Computational Science and Its Applications – ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part IV. :610–624.
Hegedüs P.  2015.  Advances in Software Product Quality Measurement and Its Applications in Software Evolution. Proceedings of the International Conference on Software Maintenance and Evolution. :590–593.
Kádár I, Hegedüs P, Ferenc R.  2015.  Adding Constraint Building Mechanisms to a Symbolic Execution Engine Developed for Detecting Runtime Errors. Proceedings of the International Conference on Computational Science and Its Applications – ICCSA 2015. 9159:20-35.