A review of 80 studies from 2021-2025 on transformer-based software vulnerability detection identifies trends in architectures, datasets, and challenges such as data imbalance and interpretability.
Pre-training bypredictingprogramdependenciesforvulnerabilityanalysistasks, in:ProceedingsoftheIEEE/ACM46thInternationalConferenceon Software Engineering, pp
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A systematic literature Review for Transformer-based Software Vulnerability detection
A review of 80 studies from 2021-2025 on transformer-based software vulnerability detection identifies trends in architectures, datasets, and challenges such as data imbalance and interpretability.