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2020 – today
- 2024
[j12]Gábor Antal
, Norbert Vándor, István Kolláth, Balázs Mosolygó, Péter Hegedüs, Rudolf Ferenc:
PyBugHive: A Comprehensive Database of Manually Validated, Reproducible Python Bugs. IEEE Access 12: 123739-123756 (2024)- [j11]Amirreza Bagheri, Péter Hegedüs:
Towards a Block-Level ML-Based Python Vulnerability Detection Tool. Acta Cybern. 26(3): 323-371 (2024) - [j10]Tamás Aladics, Péter Hegedüs, Rudolf Ferenc:
A Comparative Study of Commit Representations for JIT Vulnerability Prediction. Comput. 13(1): 22 (2024) - [j9]Antonino Sabetta, Serena Elisa Ponta, Rocío Cabrera Lozoya, Michele Bezzi, Tommaso Sacchetti, Matteo Greco, Gergö Balogh, Péter Hegedüs, Rudolf Ferenc, Ranindya Paramitha, Ivan Pashchenko, Aurora Papotti, Ákos Milánkovich, Fabio Massacci:
Known Vulnerabilities of Open Source Projects: Where Are the Fixes? IEEE Secur. Priv. 22(2): 49-59 (2024) - [c40]Zoltán Ságodi, Gábor Antal, Bence Bogenfürst, Martin Isztin, Péter Hegedüs, Rudolf Ferenc:
Reality Check: Assessing GPT-4 in Fixing Real-World Software Vulnerabilities. EASE 2024: 252-261 - [c39]Norbert Vándor, Gábor Antal, Péter Hegedüs, Rudolf Ferenc:
On the Usefulness of Python Structural Pattern Matching: An Empirical Study. SANER 2024: 501-511 - [i11]Gábor Antal, Péter Hegedüs, Zoltán Tóth, Rudolf Ferenc, Tibor Gyimóthy:
Static JavaScript Call Graphs: A Comparative Study. CoRR abs/2405.07206 (2024) - [i10]Rudolf Ferenc, Péter Hegedüs, Péter Gyimesi, Gábor Antal, Dénes Bán, Tibor Gyimóthy:
Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions. CoRR abs/2405.07213 (2024) - [i9]Gábor Antal, Zoltán Tóth, Péter Hegedüs, Rudolf Ferenc:
Enhanced Bug Prediction in JavaScript Programs with Hybrid Call-Graph Based Invocation Metrics. CoRR abs/2405.07244 (2024) - [i8]Gábor Antal, Balázs Mosolygó, Norbert Vándor, Péter Hegedüs:
A Data-Mining Based Study of Security Vulnerability Types and Their Mitigation in Different Languages. CoRR abs/2405.08025 (2024) - [i7]Zoltán Ságodi, Péter Hegedüs, Rudolf Ferenc:
Increased Software Security with Large Language Models. ERCIM News 139(138) (2024) - 2023
- [j8]Gábor Antal, Péter Hegedüs, Zoltán Herczeg, Gábor Lóki, Rudolf Ferenc:
Is JavaScript Call Graph Extraction Solved Yet? A Comparative Study of Static and Dynamic Tools. IEEE Access 11: 25266-25284 (2023) - [i6]Tamás Aladics, Péter Hegedüs, Rudolf Ferenc:
An AST-based Code Change Representation and its Performance in Just-in-time Vulnerability Prediction. CoRR abs/2303.16591 (2023) - 2022
- [j7]Péter Hegedüs, Rudolf Ferenc:
Static Code Analysis Alarms Filtering Reloaded: A New Real-World Dataset and its ML-Based Utilization. IEEE Access 10: 55090-55101 (2022) - [c38]Balázs Mosolygó, Norbert Vándor, Péter Hegedüs, Rudolf Ferenc:
A Line-Level Explainable Vulnerability Detection Approach for Java. ICCSA (Workshops 4) 2022: 106-122 - [c37]Tamás Aladics, Péter Hegedüs, Rudolf Ferenc:
A Vulnerability Introducing Commit Dataset for Java: An Improved SZZ based Approach. ICSOFT 2022: 68-78 - [c36]Tamás Aladics, Péter Hegedüs, Rudolf Ferenc:
An AST-Based Code Change Representation and Its Performance in Just-in-Time Vulnerability Prediction. ICSOFT (Selected Papers) 2022: 169-186 - [c35]Amirreza Bagheri, Péter Hegedüs:
Is Refactoring Always a Good Egg? Exploring the Interconnection Between Bugs and Refactorings. MSR 2022: 117-121 - [c34]Judit Jász, Péter Hegedüs, Ákos Milánkovich, Rudolf Ferenc:
An End-to-End Framework for Repairing Potentially Vulnerable Source Code. SCAM 2022: 242-247 - 2021
- [c33]Yue Sun, Sandor Brockhauser, Péter Hegedüs:
Machine Learning Applied for Spectra Classification. ICCSA (9) 2021: 54-68 - [c32]Tamás Viszkok, Péter Hegedüs, Rudolf Ferenc:
Improving Vulnerability Prediction of JavaScript Functions using Process Metrics. ICSOFT 2021: 185-195 - [c31]Balázs Mosolygó, Norbert Vándor, Gábor Antal, Péter Hegedüs:
On the Rise and Fall of Simple Stupid Bugs: a Life-Cycle Analysis of SStuBs. MSR 2021: 495-499 - [c30]Amirreza Bagheri, Péter Hegedüs:
A Comparison of Different Source Code Representation Methods for Vulnerability Prediction in Python. QUATIC 2021: 267-281 - [i5]Balázs Mosolygó, Norbert Vándor, Gábor Antal, Péter Hegedüs:
On the Rise and Fall of Simple Stupid Bugs: a Life-Cycle Analysis of SStuBs. CoRR abs/2103.09604 (2021) - [i4]Tamás Viszkok, Péter Hegedüs, Rudolf Ferenc:
Improving Vulnerability Prediction of JavaScript Functions Using Process Metrics. CoRR abs/2105.07527 (2021) - [i3]Amirreza Bagheri, Péter Hegedüs:
A Comparison of Different Source Code Representation Methods for Vulnerability Prediction in Python. CoRR abs/2108.02044 (2021) - 2020
- [j6]Rudolf Ferenc, Tamás Viszkok, Tamás Aladics, Judit Jász, Péter Hegedüs:
Deep-water framework: The Swiss army knife of humans working with machine learning models. SoftwareX 12: 100551 (2020) - [c29]Péter Hegedüs:
Inspecting JavaScript Vulnerability Mitigation Patches with Automated Fix Generation in Mind. ICCSA (4) 2020: 975-988 - [c28]Gábor Antal, Balázs Mosolygó, Norbert Vándor, Péter Hegedüs:
A Data-Mining Based Study of Security Vulnerability Types and Their Mitigation in Different Languages. ICCSA (4) 2020: 1019-1034 - [c27]Gábor Antal, Márton Keleti, Péter Hegedüs:
Exploring the Security Awareness of the Python and JavaScript Open Source Communities. MSR 2020: 16-20 - [i2]Gábor Antal, Márton Keleti, Péter Hegedüs:
Exploring the Security Awareness of the Python and JavaScript Open Source Communities. CoRR abs/2006.13652 (2020) - [i1]Rudolf Ferenc, István Siket, Péter Hegedüs, Róbert Rajkó:
Employing Partial Least Squares Regression with Discriminant Analysis for Bug Prediction. CoRR abs/2011.01214 (2020)
2010 – 2019
- 2019
- [c26]Rudolf Ferenc, Péter Hegedüs, Péter Gyimesi, Gábor Antal, Dénes Bán, Tibor Gyimóthy:
Challenging machine learning algorithms in predicting vulnerable JavaScript functions. RAISE@ICSE 2019: 8-14 - 2018
- [j5]Péter Hegedüs, István Kádár, Rudolf Ferenc, Tibor Gyimóthy:
Empirical evaluation of software maintainability based on a manually validated refactoring dataset. Inf. Softw. Technol. 95: 313-327 (2018) - [c25]Csaba Faragó, Péter Hegedüs:
Developer Focus: Lack of Impact on Maintainability. ICCSA (5) 2018: 391-402 - [c24]Gábor Antal, Alex Szarka, Péter Hegedüs:
A Hands-on OpenStack Code Refactoring Experience Report. ICCSA (5) 2018: 464-480 - [c23]Péter Hegedüs:
Towards Analyzing the Complexity Landscape of Solidity Based Ethereum Smart Contracts. WETSEB@ICSE 2018: 35-39 - [c22]Gabor Antal, Péter Hegedüs, Zoltán Tóth, Rudolf Ferenc, Tibor Gyimóthy:
[Research Paper] Static JavaScript Call Graphs: A Comparative Study. SCAM 2018: 177-186 - 2016
- [c21]István Kádár, Péter Hegedüs, Rudolf Ferenc, Tibor Gyimóthy:
Assessment of the Code Refactoring Dataset Regarding the Maintainability of Methods. ICCSA (4) 2016: 610-624 - [c20]István Kádár, Péter Hegedüs, Rudolf Ferenc, Tibor Gyimóthy:
A Manually Validated Code Refactoring Dataset and Its Assessment Regarding Software Maintainability. PROMISE 2016: 10:1-10:4 - [c19]István Kádár, Péter Hegedüs, Rudolf Ferenc, Tibor Gyimóthy:
A Code Refactoring Dataset and Its Assessment Regarding Software Maintainability. SANER 2016: 599-603 - 2015
- [b1]Péter Hegedüs:
Advances in Software Product Quality Measurement and its Applications in Software Evolution. University of Szeged, Hungary, 2015 - [c18]Csaba Faragó, Péter Hegedüs, Rudolf Ferenc:
Code Ownership: Impact on Maintainability. ICCSA (5) 2015: 3-19 - [c17]István Kádár, Péter Hegedüs, Rudolf Ferenc:
Adding Constraint Building Mechanisms to a Symbolic Execution Engine Developed for Detecting Runtime Errors. ICCSA (5) 2015: 20-35 - [c16]Gábor Szoke, Csaba Nagy, Péter Hegedüs, Rudolf Ferenc, Tibor Gyimóthy:
Do automatic refactorings improve maintainability? An industrial case study. ICSME 2015: 429-438 - [c15]Péter Hegedüs:
Advances in software product quality measurement and its applications in software evolution. ICSME 2015: 590-593 - [c14]Csaba Faragó, Péter Hegedüs, Rudolf Ferenc:
Cumulative code churn: Impact on maintainability. SCAM 2015: 141-150 - 2014
- [j4]István Kádár, Péter Hegedüs, Rudolf Ferenc:
Runtime Exception Detection in Java Programs Using Symbolic Execution. Acta Cybern. 21(3): 331-352 (2014) - [j3]Csaba Faragó, Péter Hegedüs, Ádám Zoltán Végh, Rudolf Ferenc:
Connection Between Version Control Operations and Quality Change of the Source Code. Acta Cybern. 21(4): 585-607 (2014) - [c13]Tibor Bakota, Péter Hegedüs, István Siket, Gergely Ladányi, Rudolf Ferenc:
Qualitygate SourceAudit: A tool for assessing the technical quality of software. CSMR-WCRE 2014: 440-445 - [c12]Gerhard Kurz, Geneviève Foley, Péter Hegedüs, Gábor Szabó, Uwe D. Hanebeck:
Evaluation of Image Stabilization Methods in Robotic Beating Heart Surgery. CURAC 2014: 6-9 - [c11]Csaba Faragó, Péter Hegedüs, Rudolf Ferenc:
The Impact of Version Control Operations on the Quality Change of the Source Code. ICCSA (5) 2014: 353-369 - [p1]Rudolf Ferenc, Péter Hegedüs, Tibor Gyimóthy:
Software Product Quality Models. Evolving Software Systems 2014: 65-100 - 2013
- [j2]Péter Hegedüs:
A Probabilistic Quality Model for C# - an Industrial Case Study. Acta Cybern. 21(1): 135-147 (2013) - [j1]Péter Hegedüs, Tibor Bakota, Gergely Ladányi, Csaba Faragó, Rudolf Ferenc:
A Drill-Down Approach for Measuring Maintainability at Source Code Element Level. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 60 (2013) - [c10]Béla Csaba, Lajos Schrettner, Árpád Beszédes, Judit Jász, Péter Hegedüs, Tibor Gyimóthy:
Relating Clusterization Measures and Software Quality. CSMR 2013: 345-348 - [c9]Gerhard Kurz, Péter Hegedüs, Gábor Szabó, Uwe D. Hanebeck:
Experimental evaluation of kinect and inertial sensors for beating heart tracking. CURAC 2013: 9-12 - [c8]Péter Hegedüs:
Revealing the Effect of Coding Practices on Software Maintainability. ICSM 2013: 578-581 - 2012
- [c7]Tibor Bakota, Péter Hegedüs, Gergely Ladányi, Peter Kortvelyesi, Rudolf Ferenc, Tibor Gyimóthy:
A cost model based on software maintainability. ICSM 2012: 316-325 - 2011
- [c6]Péter Hegedüs, Tibor Bakota, László Illés, Gergely Ladányi, Rudolf Ferenc, Tibor Gyimóthy:
Source Code Metrics and Maintainability: A Case Study. FGIT-ASEA/DRBC/EL 2011: 272-284 - [c5]Tibor Bakota, Péter Hegedüs, Peter Kortvelyesi, Rudolf Ferenc, Tibor Gyimóthy:
A probabilistic software quality model. ICSM 2011: 243-252 - 2010
- [c4]Lajos Schrettner, Péter Hegedüs, Rudolf Ferenc, Lajos Jeno Fülöp, Tibor Bakota:
Development of a Methodology, Software -- Suite and Service for Supporting Software Architecture Reconstruction. CSMR 2010: 190-193 - [c3]Günter Kniesel, Alexander Binun, Péter Hegedüs, Lajos Jeno Fülöp, Alexander Chatzigeorgiou, Yann-Gaël Guéhéneuc, Nikolaos Tsantalis:
DPDX--Towards a Common Result Exchange Format for Design Pattern Detection Tools. CSMR 2010: 232-235 - [c2]Gabriella Tóth, Péter Hegedüs, Árpád Beszédes, Tibor Gyimóthy, Judit Jász:
Comparison of different impact analysis methods and programmer's opinion: an empirical study. PPPJ 2010: 109-118
2000 – 2009
- 2008
- [c1]Lajos Jeno Fülöp, Péter Hegedüs, Rudolf Ferenc, Tibor Gyimóthy:
Towards a Benchmark for Evaluating Reverse Engineering Tools. WCRE 2008: 335-336
Coauthor Index
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