LLM4UT_Empirical

iSEngLab

[ISSTA 2025] A Large-scale Empirical Study on Fine-tuning Large Language Models for Unit Testing

unit-testing

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13 Stars

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3 Watchers

Python Language

51.9 SrcLog Score

Cost to Build

$104.6K

Market Value

$95.8K

How is this calculated?

Growth over time

7 data points · 2026-04-11 → 2026-10-03

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What is the iSEngLab/LLM4UT_Empirical GitHub project? Description: "[ISSTA 2025] A Large-scale Empirical Study on Fine-tuning Large Language Models for Unit Testing". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone LLM4UT_Empirical

Clone via HTTPS

git clone https://github.com/iSEngLab/LLM4UT_Empirical.git

Clone via SSH

[email protected]:iSEngLab/LLM4UT_Empirical.git

Download ZIP

Download main.zip

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