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Found 4 papers, 2 papers with code
An Empirical Study on Bugs Inside PyTorch: A Replication Study
Software systems are increasingly relying on deep learning components, due to their remarkable capability of identifying complex data patterns and powering intelligent behaviour.
An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
This paper presents a large-scale empirical evaluation on the effectiveness of LLMs for automated unit test generation without additional training or manual effort, providing the LLM with the signature and implementation of the function under test, along with usage examples extracted from documentation.
Essential Sentences for Navigating Stack Overflow Answers
Such navigational cues could be in the form of essential sentences that help the searcher decide whether they want to read the answer or skip over it.
Predicting Merge Conflicts in Collaborative Software Development
Predicting merge conflicts is feasible in practice, especially in the context of predicting safe merge scenarios as a pre-filtering step for speculative merging.
