6 papers
Vibe Coding: An Experiment with Test-Driven Development
Moritz Mock, Barbara Russo
Context: Conversational Large Language Models (CLLMs) can automatically generate code by collaborating with users through natural language. However, poor collaboration can lead to…
The Effect of Idea Elaboration on the Automatic Assessment of Idea Originality
Umberto Domanti, Moritz Mock, Sergio Agnoli +1
Automatic systems are increasingly used to assess the originality of responses in creative tasks. They offer a potential solution to key limitations of human assessment (cost, fati…
Reading Between the Code Lines: On the Use of Self-Admitted Technical Debt for Security Analysis
Nicolás E. Díaz Ferreyra, Nicolás E. DÃaz Ferreyra, Moritz Mock +5
Static Analysis Tools (SATs) are central to security engineering activities, as they enable early identification of code weaknesses without requiring execution. However, their effe…
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…