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Found 3 papers, 1 papers with code
UniTSyn: A Large-Scale Dataset Capable of Enhancing the Prowess of Large Language Models for Program Testing
The remarkable capability of large language models (LLMs) in generating high-quality code has drawn increasing attention in the software testing community.
Code Representation Pre-training with Complements from Program Executions
The test cases are obtained with the assistance of a customized fuzzer and are only required during pre-training.
Understanding Programs by Exploiting (Fuzzing) Test Cases
The effectiveness of the proposed method is verified on two program understanding tasks including code clone detection and code classification, and it outperforms current state-of-the-arts by large margins.
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