Publications

Found 24 results
Author Keyword [ Title(Desc)] Type Year
Filters: Author is Hegedűs, Péter  [Clear All Filters]
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A
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.
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, 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.
C
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.
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.
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, Végh ÁZoltán, Ferenc R.  2014.  Connection Between Version Control Operations and Quality Change of the Source Code. {Acta Cybernetica}. 21:585–607.
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, 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.
D
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.
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.
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.
E
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.
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.
H
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.
I
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.
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.
M
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.
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.
R
Kádár I, Hegedüs P, Ferenc R.  2014.  Runtime Exception Detection in Java Programs Using Symbolic Execution. Acta Cybernetica. 21:331–352.
S
Ferenc R, Hegedüs P, Gyimóthy T.  2014.  Software Product Quality Models. {Evolving Software Systems}. :65-100.
Antal G, Hegedüs P, Tóth Z, Ferenc R, Gyimóthy T.  2018.  Static JavaScript Call Graphs: A Comparative Study. SCAM. :177-186.
T
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.
Hegedűs P.  2019.  Towards Analyzing the Complexity Landscape of Solidity Based Ethereum Smart Contracts. Technologies. 7:6.