A Study on the Optimization Efficiency of Software Development with Low-Code Platforms

Low-Code Platforms을 이용한 소프트웨어 개발의 최적화 효과에 관한 연구
Seitzhan E. Bissembayev A. Mukasheva A. Park H.S. Kang J.W.
May 2025 Korean Institute of Electrical Engineers

Transactions of the Korean Institute of Electrical Engineers
2025 #74 Issue 5 957 - 968 pp.

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. Copyright The Korean Institute of Electrical Engineers.

Development , Efficiency , Integration , LCDPs , Optimization , Scalability

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Dept. of Transportation System Engineering, Korea National University of Transportation, South Korea
School of Information Technology and Engineering, Kazakh-British Technical University, Kazakhstan
Dept. of SMART Railway System, Korea National University of Transportation, South Korea

Dept. of Transportation System Engineering
School of Information Technology and Engineering
Dept. of SMART Railway System

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