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Addressing Skills Shortages through Low-Code/No-Code: Skill Profiles and Implementation Challenges

Rozbitski, Paul; Leyh, Christian; Ip, Ching-Ho (2025)

Konferenzpaper
Peer Reviewed
Open Access

Erschienen in
Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS) : 14-17 September, 2025, Kraków, Poland
Verlag
IEEE
Seiten
243-253

Abstract

Low-code/no-code (LCNC) platforms promise low-barrier access to software development, increased efficiency, and programming with little to no code. This paper explores whether it is really possible to create software without writing code and with little programming knowledge. Using a systematic literature analysis, we lay a foundation for future research on the skills needed by citizen developers using LCNC tools in corporate and public-sector contexts. Our analysis of 58 articles identifies three key skill categories: hard skills, such as programming and working with APIs; soft skills, such as communication and collaboration; and domain-specific knowledge. However, challenges exist in the upskilling process. Additionally, generative AI (GenAI) shows potential to expand LCNC capabilities. Nevertheless, the intersection of LCNC and publicsector transformation remains underexplored, highlighting the need for deeper studies focused on sector-specific challenges, use cases, and long-term adoption.

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