A Structured Evaluation Framework for Low-Code Platform Selection: A Multi-Criteria Decision Model for Enterprise Digital Transformation
Fuente:
arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866915566798766080 |
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| author | Lamanna, Antonio |
| author_facet | Lamanna, Antonio |
| contents | The rapid adoption of Low-Code Development Platforms (LCDPs) has created a critical need for systematic evaluation methodologies that enable organizations to make informed platform selection decisions. This paper presents a comprehensive evaluation framework based on five key criteria: Business Process Orchestration, UI/UX Customization, Integration and Interoperability, Governance and Security, and AI-Enhanced Automation. We propose a weighted scoring model that allows organizations to quantitatively assess and compare different low-code platforms based on their specific requirements and strategic priorities. The framework addresses the gap between marketing-driven platform comparisons and rigorous, context-specific evaluation methodologies. Through empirical validation in enterprise environments, we demonstrate how this structured approach can significantly improve decision-making outcomes and reduce the risk of platform lock-in or inadequate solution selection. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_18590 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Structured Evaluation Framework for Low-Code Platform Selection: A Multi-Criteria Decision Model for Enterprise Digital Transformation Lamanna, Antonio Software Engineering Human-Computer Interaction D.2.2; D.2.11; K.6.3 The rapid adoption of Low-Code Development Platforms (LCDPs) has created a critical need for systematic evaluation methodologies that enable organizations to make informed platform selection decisions. This paper presents a comprehensive evaluation framework based on five key criteria: Business Process Orchestration, UI/UX Customization, Integration and Interoperability, Governance and Security, and AI-Enhanced Automation. We propose a weighted scoring model that allows organizations to quantitatively assess and compare different low-code platforms based on their specific requirements and strategic priorities. The framework addresses the gap between marketing-driven platform comparisons and rigorous, context-specific evaluation methodologies. Through empirical validation in enterprise environments, we demonstrate how this structured approach can significantly improve decision-making outcomes and reduce the risk of platform lock-in or inadequate solution selection. |
| title | A Structured Evaluation Framework for Low-Code Platform Selection: A Multi-Criteria Decision Model for Enterprise Digital Transformation |
| topic | Software Engineering Human-Computer Interaction D.2.2; D.2.11; K.6.3 |
| url | https://arxiv.org/abs/2510.18590 |