17 citations · 48 across the 11 of their papers we have counts for
3 papers · 1 filter
Cross-Domain Evaluation of Transformer-Based Vulnerability Detection on Open & Industry Data
Moritz Mock, Thomas Forrer, Barbara Russo
Deep learning solutions for vulnerability detection proposed in academic research are not always accessible to developers, and their applicability in industrial settings is rarely…
Leveraging multi-task learning to improve the detection of SATD and vulnerability
Barbara Russo, Jorge Melegati, Moritz Mock
Multi-task learning is a paradigm that leverages information from related tasks to improve the performance of machine learning. Self-Admitted Technical Debt (SATD) are comments in…
Optimizing Deep Learning Models to Address Class Imbalance in Code Comment Classification
Moritz Mock, Thomas Borsani, Giuseppe Di Fatta +1
Developers rely on code comments to document their work, track issues, and understand the source code. As such, comments provide valuable insights into developers' understanding of…