TY  - JOUR
T1  - A Study on Improving S/W Remote Collaboration Development Using Generative AI Technology
AU  - Choi, Kiwon 
AU  - Kang, Dong Koo 
AU  - Kim, Jin Tae 
AU  - Cho, Ju Phil 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2024
DA  - 2024/1/1
DO  - 10.7840/kics.2024.49.11.1599
KW  - Artificial Intelligence
KW  - Deep Learning
KW  - Generative AI
KW  - ChatGPT
KW  - Off-Shore S/W Development
AB  - The global IT industry is advancing at an unprecedented pace, yet the domestic IT market faces significant challenges, particularly a shortage of skilled talent due to the outflow of experienced professionals and limited inflow of new developers. To mitigate this issue, the application of generative AI tools has emerged as a promising solution. This study explores the potential of these tools to automate key aspects of the software development lifecycle, including the generation of deliverables, program development, and test code creation.
The results demonstrate that the AI tools effectively adhere to industry standards in producing requirement documents and program specifications, with translation outputs suited for global collaborative development.
Additionally, program development and test code generation were executed without any logical or syntactical errors. These findings suggest that generative AI tools can significantly enhance automation in software development, thereby addressing workforce shortages and improving overall process efficiency.