An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation — mentioned by Our_Benefactors

Mon, 22 Sep 2025 17:05:08 GMT

Go ahead and move the goalposts now... This took about 2 minutes of research to support the conclusions I know to be true. You can waste time as long as you choose in academia attempting to prove any point, while normal people make real contributions using LLMs. ### An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation We evaluate TESTPILOT using OpenAI’s gpt3.5-turbo LLM on 25 npm packages with a total of 1,684 API functions. The generated tests achieve a median statement coverage of 70.2% and branch coverage of 52.8%. In contrast, the state-of-the…

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An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation · HackerPapers discussions

An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation — mentioned by Our_Benefactors