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How ChatGPT Can Help Improve Quality of Code

How ChatGPT Can Help Improve Quality of Code

Malik M. Saad Missen
Islamia University of Bahawalpur, Pakistan

Code quality is important because it affects the overall software quality. Code quality refers to the degree to which a software program’s code meets certain quality standards or criteria. These criteria can vary depending on the specific programming language, technology stack, and development methodology being used, but typically include factors such as readability, maintainability, performance, reliability, and security.

A high-quality codebase is one that is well-structured, easy to understand, and free of errors or bugs [1]. It is also designed to be scalable and extensible, which means that it can be easily modified or updated as the software evolves over time. In addition, high-quality code is often well-documented, with clear and concise comments and explanations that make it easy for other developers to understand and work with.

—ChatGPT cannot write code for you or automate the coding process (so far)—

There are several tools and techniques that can be used to measure and improve code quality, such as automated testing, code reviews, and static analysis tools. By focusing on code quality, developers can create more robust, reliable, and maintainable software systems that are better suited to meet the needs of their users and stakeholders.

As an AI language model, ChatGPT [2] can offer several suggestions and guidelines that can help you write better-quality code. Here are some ways ChatGPT can help:

1. Syntax and grammar: ChatGPT can help you with syntax and grammar issues by suggesting corrections to common programming errors and typos [3].

2. Best practices and conventions: ChatGPT can provide advice on best practices and coding conventions that are specific to your programming language or technology stack.

3. Code review: ChatGPT can offer feedback on your code, highlighting areas that may require improvement and suggesting ways to optimize performance, increase security, or improve readability.

4. Refactoring: ChatGPT can suggest refactoring strategies to improve the overall quality of your codebase. This may involve reorganizing code to improve its structure or readability, reducing code duplication, or optimizing algorithms for better performance.

5. Documentation: ChatGPT can help you write clear and concise documentation for your code, making it easier for others to understand and work with your software.

However, one thing should be kept in mind that ChatGPT is a language model and it cannot replace a development environment or IDE.  While it can provide help in the form of suggestions and some demonstrations of the code with examples, it cannot write code for you or automate the coding process (so far). Therefore, it becomes very important to test the generated code manually to ensure its quality and reliability 

References

[1] Surameery, Nigar M. Shafiq, and Mohammed Y. Shakor. “Use Chat GPT to Solve Programming Bugs.” International Journal of Information Technology & Computer Engineering (IJITC) ISSN: 2455-5290 3.01 (2023): 17-22.

[2] ChatGPT OpenAI, accessed at https://chat.openai.com/chat/ on 27 March 2023

[3] Sobania, Dominik, et al. “An analysis of the automatic bug fixing performance of chatgpt.” arXiv preprint arXiv:2301.08653 (2023).

Note: ChatGPT generated text included as well.

Cite this article in APA as: Saad Missen, M. M. (2023, April 6). How ChatGPT can help improve quality of code. Information Matters, Vol. 3, Issue 4. https://informationmatters.org/2023/03/how-chatgpt-can-help-improve-quality-of-code/

Author

  • Malik M. Saad Missen

    Dr. Malik M. Saad Missen is working as an Associate Professor in Dept. Of Information Technology of the Islamia University of Bahawalpur, Pakistan. He has also been part of adjunct faculty in Engineering College of Maynooth university, Ireland. His research interests include information retrieval, human computer interaction and document image analysis. He has published several research articles in these domains. He is also serving as expert reviewer for many reputed conferences and journals.

Malik M. Saad Missen

Dr. Malik M. Saad Missen is working as an Associate Professor in Dept. Of Information Technology of the Islamia University of Bahawalpur, Pakistan. He has also been part of adjunct faculty in Engineering College of Maynooth university, Ireland. His research interests include information retrieval, human computer interaction and document image analysis. He has published several research articles in these domains. He is also serving as expert reviewer for many reputed conferences and journals.