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.
| Original language | English |
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| Title of host publication | Proceedings of the 57th Annual Hawaii International Conference on System Sciences | 2024 |
| Editors | Tung X. Bui |
| Publisher | IEEE Computer Society |
| Pages | 7269-7279 |
| Number of pages | 11 |
| ISBN (Electronic) | 9780998133171 |
| Publication status | Published - 2024 |
| Event | 57th Annual Hawaii International Conference on System Sciences, HICSS 2024 - Honolulu, United States Duration: 3 Jan 2024 → 6 Jan 2024 |
Publication series
| Name | Proceedings of the Annual Hawaii International Conference on System Sciences |
|---|---|
| Volume | 57 |
| ISSN (Print) | 1530-1605 |
Conference
| Conference | 57th Annual Hawaii International Conference on System Sciences, HICSS 2024 |
|---|---|
| Country/Territory | United States |
| City | Honolulu |
| Period | 3/01/24 → 6/01/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE Computer Society. All rights reserved.
Keywords
- Latent Dirichlet Allocation
- Low Code Development Platforms
- StackOverflow