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cs.SE2025
Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study
Gábor Antal, Bence Bogenfürst, Rudolf Ferenc +1
Recent advancements in large language models (LLMs) have shown promise for automated vulnerability detection and repair in software systems. This paper investigates the performance…
cs.SE2025
Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation
Gábor Antal, Dénes Bán, Martin Isztin +2
In the life-cycle of software development, testing plays a crucial role in quality assurance. Proper testing not only increases code coverage and prevents regressions but it can al…