| Issue |
E3S Web Conf.
Volume 645, 2025
The 1st International Conference on Green Engineering for Sustainable Future (ICoGESF 2025)
|
|
|---|---|---|
| Article Number | 04002 | |
| Number of page(s) | 12 | |
| Section | Automation and Smart Manufacturing | |
| DOI | https://doi.org/10.1051/e3sconf/202564504002 | |
| Published online | 28 August 2025 | |
Exploring the Use of Generative AI in Software Development: A Preliminary Study
1 Informatics Engineering, Faculty of Engineering, Surabaya State University, 60231, Surabaya, Indonesia
2 Department of Information System, Jayapura University of Science and Technology, 99352, Jayapura, Indonesia
3 Computer Science, Informatics Institute, Gazi University, 06570, Ankara, Turkey
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Generative AI is an innovative technology in the current era of artificial intelligence. Generative AI is used in all fields, including software development. A preliminary study is needed to determine the role, challenges, and future research agenda to determine the research gap in this topic. Based on the results of the preliminary study that has been conducted, 61 related articles were found discussing the implementation of generative AI in software development, the challenges of implementing generative AI in the context of reliability, security, and bias, and future trends in its implementation. Bibliometric analysis has also been conducted to determine keyword co-occurrence for exploring related terms in each cluster. A theoretical systematic literature review was undertaken using articles filtered using the PRISMA framework to answer this study’s research question. Based on the results of the preliminary study, it can be seen that the application of Generative AI in software development is very significant and has the potential for further development.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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