AI RESEARCH
Quality Assurance of LLM-generated Code: Addressing Non-Functional Quality Characteristics
arXiv CS.AI
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ArXi:2511.10271v2 Announce Type: replace-cross In recent years, large language models have been widely integrated into software engineering workflows, ing tasks like code generation. While prior evaluations focus on functional correctness, there is still a limited understanding of the non-functional quality characteristics of generated code. Guided by the ISO/IEC 25010 quality model, this study adopts a multi-methods approach comprising three complementary elements: a literature review of 109 papers, two industry.