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

Gayane Sedrakyan, Stephan Braams, Stephan Braams, Cosmin Ghiauru, Anton Tsankov, Stijn Schuurman, Matthijs Jansen op de Haar, Valeri Andreev, Jos van Hillegersberg

2025

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.

Paper Citation

in Harvard Style

Sedrakyan G., Braams S., Ghiauru C., Tsankov A., Schuurman S., op de Haar M., Andreev V. and van Hillegersberg J. (2025). Reinventing Low-Code: Value-Driven and Learning-Oriented Low-Code Development with SLLM-Integrated Approach. In Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - Volume 1: MBSE-AI Integration; ISBN 978-989-758-729-0, SciTePress, pages 420-431. DOI: 10.5220/0013348200003896

in Bibtex Style

@conference{mbse-ai integration25,
author={Gayane Sedrakyan and Stephan Braams and Cosmin Ghiauru and Anton Tsankov and Stijn Schuurman and Matthijs op de Haar and Valeri Andreev and Jos van Hillegersberg},
title={Reinventing Low-Code: Value-Driven and Learning-Oriented Low-Code Development with SLLM-Integrated Approach},
booktitle={Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - Volume 1: MBSE-AI Integration},
year={2025},
pages={420-431},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013348200003896},
isbn={978-989-758-729-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - Volume 1: MBSE-AI Integration
TI - Reinventing Low-Code: Value-Driven and Learning-Oriented Low-Code Development with SLLM-Integrated Approach
SN - 978-989-758-729-0
AU - Sedrakyan G.
AU - Braams S.
AU - Ghiauru C.
AU - Tsankov A.
AU - Schuurman S.
AU - op de Haar M.
AU - Andreev V.
AU - van Hillegersberg J.
PY - 2025
SP - 420
EP - 431
DO - 10.5220/0013348200003896
PB - SciTePress