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Large Language Models for Unit Test Generation: Achievements, Challenges, and Opportunities

Chu, Bei et al.
arXiv (All) · Papers
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software-engineering
Unit tests help detect faults and prevent regressions, but writing them manually is costly. Automated unit test generation involves constructing inputs that exercise the code and oracles that express expected behavior. Large language models (LLMs) can use code and natural-language context to constru
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