3 papers
cs.SE2026
NFR-to-Code Traceability in a Blockchain-IoT System: An Empirical Study
Yifei Wang, Jacky Keung, Xiaoxue Ma +2
Requirement-to-Code traceability has been widely studied, yet existing research and public benchmarks remain largely centered on functional requirements (FRs). In contrast, traceab…
cs.SE2026
R2Code: A Self-Reflective LLM Framework for Requirements-to-Code Traceability
Yifei Wang, Jacky Keung, Xiaoxue Ma +3
Accurate requirement-to-code traceability is crucial for software maintenance. However, existing IR- and embedding-based methods are heavily dependent on lexical similarity, often…
cs.SE2024
On the Influence of Data Resampling for Deep Learning-Based Log Anomaly Detection: Insights and Recommendations
Xiaoxue Ma, Huiqi Zou, Pinjia He +4
Numerous Deep Learning (DL)-based approaches have gained attention in software Log Anomaly Detection (LAD), yet class imbalance in training data remains a challenge, with anomalies…