Treffer: BRINGING NLP TO JAVA CODING - CHATGPT CODE DEVELOPER.

Title:
BRINGING NLP TO JAVA CODING - CHATGPT CODE DEVELOPER.
Authors:
TĂBUȘCĂ, Alexandru1 alex.tabusca@rau.ro, LUCHICI, Andrei2 andrei.luchici@rau.ro, BOTEZATU, Mihai Alexandru3 mihai.botezatu@rau.ro
Source:
Journal of Information Systems & Operations Management. Dec2024, Vol. 18 Issue 2, p215-228. 14p.
Database:
Business Source Elite

Weitere Informationen

The integration of ChatGPT, a state-of-the-art NLP (Natural Language Processing) model developed by the company OpenAI, with the Java programming language provides significant advancements in coding generation and software development. ChatGPT has the ability to generate useful and correct, human-like, text responses, a fact that offers developers a robust tool for automating tasks such as code generation, documentation, error diagnosis, and test case creation. Java, renowned for its extensive ecosystem and backend capabilities, is an ideal choice for leveraging ChatGPT's potential. This paper explores methodologies and best practices for integrating ChatGPT with Java, focusing on API interaction, error handling, and performance optimization. Developers can employ HTTP libraries such as OkHttp and frameworks like Spring Boot to create intelligent and scalable applications. By dynamically generating prompts, integrating with databases, and caching frequent responses, developers can enhance the efficiency of their applications. However, limitations remain, such as the need for manual intervention in resolving library version conflicts and addressing complex tasks beyond AI's current capabilities. Real-life use cases discussed include generating Java code, translating programming languages, enforcing code styles, and supporting real-time applications. Despite occasional inaccuracies in AIgenerated outputs, ChatGPT's speed and versatility make it a valuable assistant for both novice and, mostly, experienced developers. The paper concludes by emphasizing the need to experiment with AI-driven tools to maximize productivity and stay abreast of technological advancements in software engineering. As there is no way back to a time without AI support, developers should embrace the new paradigm of assisted programming languages code generation and make the best out of the new environment, while remaining focused on any new relevant developments in this field. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Information Systems & Operations Management is the property of Romanian American University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)