Application of Low Code Development Platform in Digital Project Management

Digital transition has become an integral part of business progress as it relates to entering the digital project management system for enterprise information building. The adoption of the low-code development platform is an important option for the digital project management of the enterprise due to the ability of low-code development platform to excel in efficiency and flexibility compared to the conventional manual coding method. This study sets out to conduct a comparative experiment to design the grid digital project management system using the low-coded development platform and traditional manual coding method respectively. After system was developed, in terms of development cycle, system response time, RPS system throughput, the difference between the two systems was tested and compared and the results showed that the development of the low-code development platform was significantly better than the traditional manual coding method in system response time, system throughput system. In particular, the average system response time of the low-code group is 2.1 seconds, while the average system response time of the traditional coding group is 3.3 seconds; the average RPS of the low-code group is 1,283, while the average RPS of the traditional coding group is 902, suggesting that the low-code development platform can effectively improve the performance and interactivity of the digital project management system and bring benefits to the enterprise informationization.

Authors

Institutions

Publication Details

Published
2024-12-29
DOI
https://doi.org/10.1109/icirdc65564.2024.00010
Primary Topic
Advanced Computational Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of Low Code Development Platform in Digital Project Management

Wenting Wei, X. Hou
Advanced Computational Techniques and Applications
article

Application of Low Code Development Platform in Digital Project Management

Wenting Wei, X. Hou
article en

Abstract

Digital transition has become an integral part of business progress as it relates to entering the digital project management system for enterprise information building. The adoption of the low-code development platform is an important option for the digital project management of the enterprise due to the ability of low-code development platform to excel in efficiency and flexibility compared to the conventional manual coding method. This study sets out to conduct a comparative experiment to design the grid digital project management system using the low-coded development platform and traditional manual coding method respectively. After system was developed, in terms of development cycle, system response time, RPS system throughput, the difference between the two systems was tested and compared and the results showed that the development of the low-code development platform was significantly better than the traditional manual coding method in system response time, system throughput system. In particular, the average system response time of the low-code group is 2.1 seconds, while the average system response time of the traditional coding group is 3.3 seconds; the average RPS of the low-code group is 1,283, while the average RPS of the traditional coding group is 902, suggesting that the low-code development platform can effectively improve the performance and interactivity of the digital project management system and bring benefits to the enterprise informationization.

Ningxia Water Conservancy (CN)
Openalex Percentile: Top 71%
Advanced Computational Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.