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Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS)

Annals of Computer Science and Information Systems, Volume 43

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

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DOI: http://dx.doi.org/10.15439/2025F3612

Citation: Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS), M. Bolanowski, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 43, pages 243–253 ()

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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 public-sector transformation remains underexplored, highlighting the need for deeper studies focused on sector-specific challenges, use cases, and long-term adoption.

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