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Found 4 papers, 1 papers with code
AutoDev: Automated AI-Driven Development
This enables the AI Agents to execute tasks in a fully automated manner with a comprehensive understanding of the contextual information required.
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming
The integration of Large Language Models (LLMs) into Development Environments (IDEs) has become a focal point in modern software development.
Predicting Code Coverage without Execution
Using Machine Learning to amortize this expensive process could lower the cost of code coverage by requiring only the source code context, and the task of code coverage prediction can be a novel benchmark for judging the ability of models to understand code.
Protecting Privacy of Users in Brain-Computer Interface Applications
Machine learning (ML) is revolutionizing research and industry.
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