University of Oulu

M. A. Haque and S. Li, “The Potential Use of ChatGPT for Debugging and Bug Fixing”, EAI Endorsed Trans AI Robotics, vol. 2, May 2023.

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
Publish Date: 2023-10-06
Description:

Abstract

ChatGPT 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.

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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/