4 papers · 1 filter
Continuous Autonomous Refactoring: A Research Roadmap for AI-Driven Code Quality Maintenance
Xin Sun, Daniel Ståhl, Kristian Sandahl +1
Large language models have shown promising capabilities in code refactoring, but existing approaches remain limited to method-level tasks. In this paper, we envision LLM-based refa…
Beyond Resolved Rate: A Non-Functional Quality Study
Xin Sun, Daniel Ståhl, Kristian Sandahl +1
Repository-level coding benchmarks typically measure progress in model capability by comparing the resolved rates of later and earlier models. However, this focus overlooks whether…
Patch Validation in Automated Vulnerability Repair
Zheng Yu, Wenxuan Shi, Xinqian Sun +3
Automated Vulnerability Repair (AVR) systems, especially those leveraging large language models (LLMs), have demonstrated promising results in patching vulnerabilities -- that is,…
A Large Language Model Approach to Identify Flakiness in C++ Projects
Xin Sun, Daniel Ståhl, Kristian Sandahl
The role of regression testing in software testing is crucial as it ensures that any new modifications do not disrupt the existing functionality and behaviour of the software syste…