Leveraging Large Language Models (LLM) for Python Unit Test
Medlen, Jiri; Bari, Emese; Tank, Devarshi;
Leveraging Large Language Models (LLM) for Python Unit Test
Abstract This study evaluates the capability of six state-of-the-art Large Language Models (LLMs): Perplexity AI, Claude Sonnet 4.5, Gemini 2.5 Pro, ChatGPT (GPT-5), DeepSeek-V3.2-Exp, and Llama-4-Maverick, to generate production-quality Python code with comprehensive unit tests.
LLM
LLM
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selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average