4 papers
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…
Quality Assurance of LLM-generated Code: Addressing Non-Functional Quality Characteristics
Xin Sun, Daniel Ståhl, Kristian Sandahl +1
In recent years, large language models have been widely integrated into software engineering workflows, supporting tasks like code generation. While prior evaluations focus on func…
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…