LLMs and Prompting for Unit Test Generation: A Large-Scale Evaluation
Year: 2024
Type: conference-paper
Abstract: Unit testing, essential for identifying bugs, is often neglected due to time constraints. Automated test generation tools exist but typically lack readability and require developer intervention. Large Language Models (LLMs) like GPT and Mistral show potential in test generation, but their effectiveness remains unclear.
Language: English
Subfield: Software
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Award: G3068976969
OpenAlex ID: W4403538008
