Assessing the Quality of Low-Code Applications: A Systematic Mapping Study

Abstract

Low-code development platforms seek to democratize software creation by allowing people without deep technical knowledge to build applications. This has reduced requests to IT teams, allowing them to focus on more complex projects. These platforms are highly customizable to meet specific needs, which explains their growing popularity among companies looking to optimize their development processes and stay digitally competitive. However, the lack of quality in the applications developed through these platforms is a major challenge. In this  context, to address the lack of quality in the applications developed through Low-Code platforms, a systematic mapping of the literature was carried out to know the current status of models, methodologies, guides and quality standards, which guarantee that these applications meet the requirements and needs of end users. 13 articles were identified and the results present that there are problems based on lack of experience in software development, limitations of Low-Code platforms, lack of exhaustive testing, and dependence on components, and extensive tests have been carried out, using containers; taking advantage of technologies such as Blockchain and platforms for the development of virtual applications, as well as Deep Learning and Machine Learning techniques as strategies to ensure quality. However, the implementation of some norms, standards, and development guidelines is necessary to ensure consistency and quality across all applications developed through Low-Code platforms.