Analysis of ChatGPT on Source Code
It addresses the potential of AI tools to assist developers in programming tasks, though it appears incremental as a general analysis without new experimental results.
This paper explores the use of ChatGPT and other large language models for programming tasks like code generation and bug detection, finding they offer benefits such as time savings and high accuracy but are not yet advanced enough to fully replace human programmers.
This paper explores the use of Large Language Models (LLMs) and in particular ChatGPT in programming, source code analysis, and code generation. LLMs and ChatGPT are built using machine learning and artificial intelligence techniques, and they offer several benefits to developers and programmers. While these models can save time and provide highly accurate results, they are not yet advanced enough to replace human programmers entirely. The paper investigates the potential applications of LLMs and ChatGPT in various areas, such as code creation, code documentation, bug detection, refactoring, and more. The paper also suggests that the usage of LLMs and ChatGPT is expected to increase in the future as they offer unparalleled benefits to the programming community.