Towards consistency management in low-code platforms

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Abstract

Low-code platforms are developed and packaged by the supplier, and subsequently, citizen developers engineer and maintain their own applications. The resulting application is a product of two separate engineering phases without proper coordination and communication facilities between them. In these applications, inconsistencies emerge because of model/data co-evolution, e.g., the data model changes while running instances of the application are in use. Low-code platforms typically lack proper metamodeling facilities, and as a consequence, state-of-The-Art multi-view and multi-paradigm inconsistency management techniques fall short of adequately addressing inconsistencies. We propose an approach for managing multi-Artifact consistency to address inconsistencies in low-code applications properly. This paper outlines the approach, presents preliminary findings, and discusses future research plans.

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Zaheri, M. (2022). Towards consistency management in low-code platforms. In Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022: Companion Proceedings (pp. 176–181). Association for Computing Machinery, Inc. https://doi.org/10.1145/3550356.3558510

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