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Reinventing Low-Code: Value-Driven and Learning-Oriented Low-Code Development with SLLM-Integrated Approach

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Abstract

Low-code development platforms (LCDPs) are transforming business practices by shifting the focus from traditional, code-intensive approaches to business-centered modeling. These platforms enable citizen developers-non-technical employees within organizations-to build and manage applications that address specific business needs. This democratization accelerates time-to-market and encourages agile, co-participatory development. However, the rise of citizen development also introduces challenges, such as risks to quality, security, and governance, due to limited technical expertise among some users. This paper investigates ways to enhance current low-code practices by integrating AI-based support for text-to-model generation and established business frameworks, such as the Business Model Canvas (BMC). Incorporating BMC into low-code platforms reinforces their core strengths-minimizing code dependency while grounding development in business models. This integration can offer a structured pathway for citizen developers to engage in meaningful learning while ensuring their projects align with organizational objectives. This approach positions low-code not only as a productivity tool aiming faster time to market, but as platforms for continuous learning and strategic alignment with business. The proposed integrations build on a novel feedback-inclusive approach, which received the innovative feedback nomination at the University of Leuven, Belgium1, and was informed by evidence-based learning experiences at the University of Twente, Netherlands.

Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Model-Based Software and Systems Engineering
EditorsFederico Ciccozzi, Luís Ferreira Pires, Francis Bordeleau
PublisherScience and Technology Publications, Lda
Pages420-431
Number of pages12
ISBN (Print)9789897587290
DOIs
Publication statusPublished - 2025
Event13th International Conference on Model-Based Software and Systems Engineering, MODELSWARD 2025 - Porto, Portugal
Duration: 26 Feb 202528 Feb 2025
Conference number: 13

Publication series

NameInternational Conference on Model-Driven Engineering and Software Development
Volume1
ISSN (Electronic)2184-4348

Conference

Conference13th International Conference on Model-Based Software and Systems Engineering, MODELSWARD 2025
Abbreviated titleMODELSWARD 2025
Country/TerritoryPortugal
CityPorto
Period26/02/2528/02/25

Keywords

  • AI-Enabled Modeling
  • Business Model Canvas
  • Business Models
  • Citizen Development
  • Low-Code
  • Model-Based System Development
  • Requirements Engineering for Low-Code

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