Do LLMs Generate Useful Test Oracles? An Empirical Study with an Unbiased Dataset

Key Points

• The research aims to evaluate whether large language models can produce effective test oracles.
• Conducted an empirical study using an unbiased dataset
• Assessed the performance of LLMs in generating test oracles
• Presented findings at a major conference on automated software engineering.
• Demonstrated potential usefulness of LLM-generated test oracles
• Highlighted areas where LLMs may fall short in effectiveness.