Software Testing and Engineering Strategies for Quality Assurance in Low-Code and No-Code Application Development Platforms

Abstract

Low-Code and No-Code (LCNC) platforms are revolutionizing modern software development by enabling rapid application creation with minimal manual coding. These platforms empower non-technical users, known as “citizen developers,” to build business applications using graphical interfaces and pre-built modules. While this democratization accelerates digital transformation, it also introduces unique challenges for software testing and engineering. Traditional testing methodologies are not directly compatible with LCNC environments, necessitating specialized frameworks, automated tools, and AI-driven testing mechanisms. This paper explores the principles, challenges, and quality assurance strategies for software testing and engineering in LCNC platforms. It also discusses the role of model-based testing, continuous integration, and AI-assisted validation in ensuring software reliability, scalability, and maintainability within these emerging paradigms.

KEYWORDS: Low-Code Platforms, No-Code Platforms, Software Testing, Automation, Quality Assurance, Citizen Development, AI Testing, Continuous Integration, Model-Based Testing.