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Abstract: Test case generation is a critical research topic in the field of automated software engineering. In recent years, with the rapid advancement of large language models (LLMs) such as the GPT ...
Software quality assurance is facing a growing efficiency crisis. Traditional automation frameworks often collapse under constant maintenance and are plagued by test failures that delay critical ...
Tip: Add a screenshot of your API docs, a plot, or a sample output to make your project stand out! A comprehensive Python portfolio project demonstrating advanced web scraping, data processing, and ...
Large Language Models (LLMs) have shown substantial improvements in reasoning and precision through reinforcement learning (RL) and test-time scaling techniques. Despite outperforming traditional unit ...
Our reinforcement learning framework co-evolves the LLM’s coding and unit-test generation abilities simultaneously, thereby improving its overall coding performance. As shown in the table above, after ...
Generative AI technology has significantly altered software development practices, giving organizations new ways to approach technical innovation, as is being shown in how generative AI is boosting ...
Visual programming has emerged strongly in computer vision and AI, especially regarding image reasoning. Visual programming enables computers to create executable code that interacts with visual ...
Large language models (LLMs) have shown great potential in automating significant aspects of coding by producing natural code from informal natural language (NL) intent. However, given NL is informal, ...
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