2 papers
cs.SE2026
When Who You Are Can Change the Code You Get: A Study of Persona-Induced Bias in LLM Code Generation
Anubhav Gupta, Mayara Costa Figueiredo, Leticia Santos Machado +4
Large Language Models (LLMs) are widely used as programming assistants, yet it remains unclear whether and how user's demographic information impacts the technical quality of gener…
cs.SE2026
InEx-Bug: A Human Annotated Dataset of Intrinsic and Extrinsic Bugs in the NPM Ecosystem
Tanner Wright, Adams Chen, Gema Rodríguez-Pérez
Understanding the causes of software defects is essential for reliable software maintenance and ecosystem stability. However, existing bug datasets do not distinguish between issue…