Automatic Programming: Large Language Models and Beyond
arxiv(2024)
摘要
Automatic programming has seen increasing popularity due to the emergence of
tools like GitHub Copilot which rely on Large Language Models (LLMs). At the
same time, automatically generated code faces challenges during deployment due
to concerns around quality and trust. In this article, we study automated
coding in a general sense and study the concerns around code quality, security
and related issues of programmer responsibility. These are key issues for
organizations while deciding on the usage of automatically generated code. We
discuss how advances in software engineering such as program repair and
analysis can enable automatic programming. We conclude with a forward looking
view, focusing on the programming environment of the near future, where
programmers may need to switch to different roles to fully utilize the power of
automatic programming. Automated repair of automatically generated programs
from LLMs, can help produce higher assurance code from LLMs, along with
evidence of assurance
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