Gabor Antal

Orcid: 0000-0002-3002-8624

According to our database1, Gabor Antal authored at least 21 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Enhanced Bug Prediction in JavaScript Programs with Hybrid Call-Graph Based Invocation Metrics.
CoRR, 2024

Static JavaScript Call Graphs: A Comparative Study.
CoRR, 2024

Assessing GPT-4-Vision's Capabilities in UML-Based Code Generation.
CoRR, 2024

PyBugHive: A Comprehensive Database of Manually Validated, Reproducible Python Bugs.
IEEE Access, 2024

On the Usefulness of Python Structural Pattern Matching: An Empirical Study.
Proceedings of the IEEE International Conference on Software Analysis, 2024

Toward a New Era of Rapid Development: Assessing GPT-4-Vision's Capabilities in UML-Based Code Generation.
LLM4CODE@ICSE, 2024

Reality Check: Assessing GPT-4 in Fixing Real-World Software Vulnerabilities.
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.
IEEE Access, 2023

2022
Applying Code Analysis and Machine Learning Techniques to Improve Compatibility and Security of Programs
PhD thesis, 2022

Don't DIY: Automatically transform legacy Python code to support structural pattern matching.
Proceedings of the 22nd IEEE International Working Conference on Source Code Analysis and Manipulation, 2022

2021
On the Rise and Fall of Simple Stupid Bugs: a Life-Cycle Analysis of SStuBs.
Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

2020
Exploring the Security Awareness of the Python and JavaScript Open Source Communities.
Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

A Data-Mining Based Study of Security Vulnerability Types and Their Mitigation in Different Languages.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019
Challenging machine learning algorithms in predicting vulnerable JavaScript functions.
Proceedings of the 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, 2019

2018
[Research Paper] Static JavaScript Call Graphs: A Comparative Study.
Proceedings of the 18th IEEE International Working Conference on Source Code Analysis and Manipulation, 2018

A Hands-on OpenStack Code Refactoring Experience Report.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

2017
Empirical study on refactoring large-scale industrial systems and its effects on maintainability.
J. Syst. Softw., 2017

2016
Transforming C++11 Code to C++03 to Support Legacy Compilation Environments.
Proceedings of the 16th IEEE International Working Conference on Source Code Analysis and Manipulation, 2016

2015
Identifying wasted effort in the field via developer interaction data.
Proceedings of the 2015 IEEE International Conference on Software Maintenance and Evolution, 2015

2014
Bulk Fixing Coding Issues and Its Effects on Software Quality: Is It Worth Refactoring?
Proceedings of the 14th IEEE International Working Conference on Source Code Analysis and Manipulation, 2014

2013
Development of a Novel Semantic-Based System Integration Framework.
Proceedings of the 3rd Eastern European Regional Conference on the Engineering of Computer Based Systems, 2013


  Loading...