AI-assisted software development increasingly relies on large lan- guage models to transform natural-language specifications into code. However, in most current workflows, specifications are treated as inline prompt content, limiting their structure, reuse, and trace- ability across development tasks. This paper introd...
Daniel Soto, D. A. González-Rueda, Mario Linares-Vásquez et al.· Proceedings of the 1st Inter...· 0 citations
The results show that English prompts do not consistently produce the best functional correctness or code quality, the impact of prompt language depends on both the programming language and the LLM, and generated code frequently mixes English with the prompt language in comments and string literals.
Saima Afrin, Alessandro Midolo, C. Escobar-Velasquez et al.· arXiv.org· 0 citations
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