Assessing LLM Code Generation: Quality Security Testability Analysis
LLMs generate functional code but struggle with security & testability issues, researchers find in new study on Assessing LLM Code Generation: Quality, Security and Testability Analysis.
This is a Plain English Papers summary of a research paper called Assessing LLM Code Generation: Quality, Security and Testability Analysis. If you like these kinds of analysis, you should join AImodels.fyi or follow me on Twitter. Overview This paper analyzes the code and test code generated by large language models (LLMs) like GPT-3. The researchers examine the quality, security, and testability of the code produced by these models. They also explore how LLMs can be used to generate test cases to accompany the code they produce. Plain English Explanation The paper looks a...