Unveiling Challenges and Opportunities in Low Code Development Platforms: A StackOverflow Analysis
Journal
Proceedings of the 57th Hawaii International Conference on System Sciences (HICSS)
Type
conference paper
Date Issued
2024-01-07
Author(s)
Research Team
IWI6
Abstract
As the rapidly expanding digital transformations at multiple organizations require development of growing number of software solutions, low code development platforms (LCDPs) started to be widely used by pretrained business users, in such use-cases as process automation and rapid application development. Our study explores the challenges of LCDPs use for developers, by investigating 30 000 of their posts at one of the most prominent fora StackOverflow. It is conducted with text-mining approaches, primarily Latent Dirichlet Allocation (LDA), aiming to identify challenges for users of LCDPs. As they were from the areas of visualization, third-party integration, database and table management, datatype conversion, programming languages, and file handling, we further discussed them to propose possible enhancements for users of LCDPs.
Language
English
Keywords
Low Code Development Platforms
Latent Dirichlet Allocation
StackOverflow
HSG Classification
contribution to scientific community
Refereed
Yes
Pages
10
Event Title
Proceedings of the 57th Hawaii International Conference on System Sciences (HICSS)
Event Location
O'ahu, Hawaii
Event Date
07.01.2024
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
Name
JML_1018.pdf
Size
546.15 KB
Format
Adobe PDF
Checksum (MD5)
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