| Title |
A Study on the Optimization Efficiency of Software Development with Low-Code Platforms |
| Authors |
(Erdana Seitzhan) ; (Alibek Bissembayev) ; (Assel Mukasheva) ; 박해산(Hae San Park) ; 강정원(Jeong Won Kang) |
| DOI |
https://doi.org/10.5370/KIEE.2025.74.5.957 |
| Keywords |
LCDPs; Optimization; Scalability; Efficiency; Integration; Development. |
| Abstract |
The aim of this article is to study the effects of Low Code Development Platforms (LCDPs) on contemporary software engineering practices, focusing on the acceleration of application development procedures, reduction of development costs, and democratization of application development. Low-code platforms use visual development environments to allow professional developers and “citizen developers” to build applications with very little coding. The benefits and challenges of LCDPs are highlighted in this research through a review of literature, case studies, and survey analysis. LCDPs can significantly enhance efficiency and reduce costs, achieving up to a 50% reduction in development time for smaller projects. However, their effectiveness diminishes in larger projects where extensive customization and integration are required. Survey results indicate that 85% of professionals agree on efficiency improvements, but challenges related to scalability and integration remain a concern. Moreover, both PSO and NLP optimize feature selection and workflow allocation, further reducing execution time by 16.8%. This provides practical implications and demonstrates the potential of LCDPs in their role in software development going forward. |