Péter Hegedüs

ERCIM News, 2024

Enhanced Bug Prediction in JavaScript Programs with Hybrid Call-Graph Based Invocation Metrics.

[BibT_eX]

[DOI]

CoRR, 2024

Static JavaScript Call Graphs: A Comparative Study.

[BibT_eX]

[DOI]

CoRR, 2024

A Comparative Study of Commit Representations for JIT Vulnerability Prediction.

[BibT_eX]

[DOI]

Tamás Aladics

Comput., 2024

Towards a Block-Level ML-Based Python Vulnerability Detection Tool.

[BibT_eX]

[DOI]

Amirreza Bagheri

Acta Cybern., 2024

PyBugHive: A Comprehensive Database of Manually Validated, Reproducible Python Bugs.

[BibT_eX]

[DOI]

IEEE Access, 2024

On the Usefulness of Python Structural Pattern Matching: An Empirical Study.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Analysis, 2024

Reality Check: Assessing GPT-4 in Fixing Real-World Software Vulnerabilities.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

2023

Is JavaScript Call Graph Extraction Solved Yet? A Comparative Study of Static and Dynamic Tools.

[BibT_eX]

[DOI]

IEEE Access, 2023

2022

Static Code Analysis Alarms Filtering Reloaded: A New Real-World Dataset and its ML-Based Utilization.

[BibT_eX]

[DOI]

IEEE Access, 2022

An End-to-End Framework for Repairing Potentially Vulnerable Source Code.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Working Conference on Source Code Analysis and Manipulation, 2022

Is Refactoring Always a Good Egg? Exploring the Interconnection Between Bugs and Refactorings.

[BibT_eX]

[DOI]

Amirreza Bagheri

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

An AST-Based Code Change Representation and Its Performance in Just-in-Time Vulnerability Prediction.

[BibT_eX]

[DOI]

Tamás Aladics

Proceedings of the Software Technologies - 17th International Conference, 2022

A Vulnerability Introducing Commit Dataset for Java: An Improved SZZ based Approach.

[BibT_eX]

[DOI]

Tamás Aladics

Proceedings of the 17th International Conference on Software Technologies, 2022

A Line-Level Explainable Vulnerability Detection Approach for Java.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022

2021

A Comparison of Different Source Code Representation Methods for Vulnerability Prediction in Python.

[BibT_eX]

[DOI]

Amirreza Bagheri

Proceedings of the Quality of Information and Communications Technology, 2021

On the Rise and Fall of Simple Stupid Bugs: a Life-Cycle Analysis of SStuBs.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

Improving Vulnerability Prediction of JavaScript Functions using Process Metrics.

[BibT_eX]

[DOI]

Tamás Viszkok

Proceedings of the 16th International Conference on Software Technologies, 2021

Machine Learning Applied for Spectra Classification.

[BibT_eX]

[DOI]

Yue Sun

Sandor Brockhauser

Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

2020

Deep-water framework: The Swiss army knife of humans working with machine learning models.

[BibT_eX]

[DOI]

SoftwareX, 2020

Employing Partial Least Squares Regression with Discriminant Analysis for Bug Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

Exploring the Security Awareness of the Python and JavaScript Open Source Communities.

[BibT_eX]

[DOI]

Gábor Antal

Márton Keleti

Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

Inspecting JavaScript Vulnerability Mitigation Patches with Automated Fix Generation in Mind.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

A Data-Mining Based Study of Security Vulnerability Types and Their Mitigation in Different Languages.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019

Challenging machine learning algorithms in predicting vulnerable JavaScript functions.

[BibT_eX]

[DOI]

Proceedings of the 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, 2019

2018

Empirical evaluation of software maintainability based on a manually validated refactoring dataset.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2018

[Research Paper] Static JavaScript Call Graphs: A Comparative Study.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Working Conference on Source Code Analysis and Manipulation, 2018

Towards Analyzing the Complexity Landscape of Solidity Based Ethereum Smart Contracts.

[BibT_eX]

[DOI]

Proceedings of the 1st IEEE/ACM International Workshop on Emerging Trends in Software Engineering for Blockchain, 2018

Developer Focus: Lack of Impact on Maintainability.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

A Hands-on OpenStack Code Refactoring Experience Report.

[BibT_eX]

[DOI]

Gábor Antal

Alex Szarka

Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

2016

A Code Refactoring Dataset and Its Assessment Regarding Software Maintainability.

[BibT_eX]

[DOI]

Proceedings of the IEEE 23rd International Conference on Software Analysis, 2016

A Manually Validated Code Refactoring Dataset and Its Assessment Regarding Software Maintainability.

[BibT_eX]

[DOI]

Proceedings of the The 12th International Conference on Predictive Models and Data Analytics in Software Engineering, 2016

Assessment of the Code Refactoring Dataset Regarding the Maintainability of Methods.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016

2015

Advances in Software Product Quality Measurement and its Applications in Software Evolution

[BibT_eX]

[DOI]

PhD thesis, 2015

Cumulative code churn: Impact on maintainability.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Working Conference on Source Code Analysis and Manipulation, 2015

Do automatic refactorings improve maintainability? An industrial case study.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Software Maintenance and Evolution, 2015

Advances in software product quality measurement and its applications in software evolution.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Software Maintenance and Evolution, 2015

Adding Constraint Building Mechanisms to a Symbolic Execution Engine Developed for Detecting Runtime Errors.

[BibT_eX]

[DOI]

István Kádár

Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015

Code Ownership: Impact on Maintainability.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015

2014

Runtime Exception Detection in Java Programs Using Symbolic Execution.

[BibT_eX]

[DOI]

István Kádár

Acta Cybern., 2014

Connection Between Version Control Operations and Quality Change of the Source Code.

[BibT_eX]

[DOI]

Acta Cybern., 2014

The Impact of Version Control Operations on the Quality Change of the Source Code.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

Evaluation of Image Stabilization Methods in Robotic Beating Heart Surgery.

[BibT_eX]

Proceedings of the 13. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2014

Qualitygate SourceAudit: A tool for assessing the technical quality of software.

[BibT_eX]

[DOI]

Proceedings of the 2014 Software Evolution Week, 2014

Software Product Quality Models.

[BibT_eX]

[DOI]

Tibor Gyimóthy

Proceedings of the Evolving Software Systems, 2014

2013

A Drill-Down Approach for Measuring Maintainability at Source Code Element Level.

[BibT_eX]

[DOI]

Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2013

A Probabilistic Quality Model for C# - an Industrial Case Study.

[BibT_eX]

[DOI]

Acta Cybern., 2013

Revealing the Effect of Coding Practices on Software Maintainability.

[BibT_eX]

[DOI]