2 papers
cs.SE2025
Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning
Liguo Ji, Chenchen Li, Shenglin Wang +1
With the continuous growth in the scale and complexity of software systems, defect remediation has become increasingly difficult and costly. Automated defect prediction tools can p…
cs.SE2025
Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks
Jiaqi Zhang, Shikai Guo, Hui Li +3
The Just-In-Time defect prediction model helps development teams improve software quality and efficiency by assessing whether code changes submitted by developers are likely to int…