The potential use of ChatGPT for debugging and bug fixing |
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Author: | Haque, Md. Asraful1; Li, Shuai2 |
Organizations: |
1Department of Computer Engineering, Aligarh Muslim University, Aligarh-202002, India 2Faculty of Information Technology & Electrical Engineering, University of Oulu, Finland |
Format: | article |
Version: | published version |
Access: | open |
Online Access: | PDF Full Text (PDF, 1.1 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe20231006139025 |
Language: | English |
Published: |
European Alliance for Innovation,
2023
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Publish Date: | 2023-10-06 |
Description: |
AbstractChatGPT is a cutting-edge language model that has been making waves in the field of natural language processing. However, its capabilities extend far beyond language-based applications. ChatGPT can also be used as a powerful tool for debugging software code. As software applications become increasingly complex, the need for efficient and accurate debugging tools has become more pressing. ChatGPT’s ability to analyze and understand code makes it a promising solution to this challenge. Debugging is a critical part of the software development process. Bugs, or errors in code, can have serious consequences for the functionality and security of software applications. Identifying and fixing bugs can be a time-consuming and labor-intensive process, requiring the expertise of experienced developers. ChatGPT has the potential to streamline this process and make it more accessible to a wider range of developers, regardless of their experience level. In this article, we will explore the capabilities of ChatGPT as a debugging tool, the advantages and limitations of using it, and best practices for integrating it into the software development workflow. see all
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Series: |
EAI endorsed transactions on AI and robotics |
ISSN: | 2790-7511 |
ISSN-E: | 2790-7511 |
ISSN-L: | 2790-7511 |
Volume: | 2 |
Issue: | 1 |
Article number: | e4 |
DOI: | 10.4108/airo.v2i1.3276 |
OADOI: | https://oadoi.org/10.4108/airo.v2i1.3276 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
113 Computer and information sciences |
Subjects: | |
Copyright information: |
© 2023 Md. Asraful Haque et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited. |
https://creativecommons.org/licenses/by-nc-sa/4.0/ |