Oct 18, 2022 · Low-code is also typically a one-shot modeling approach, meaning that you have models and the generated code, no complex chains of refinement, no model transformations, …

Theoretical approaches used in implementation science have three overarching aims: describing and/or guiding the process of translating research into practice (process models); …

Rachel Tabak and colleagues organized 61 dissemination and implementation theories, models, and frameworks (TMFs) based on three variables to provide researchers with a better …

Both Low Code and MDE aim to bring visual interfaces and design into creating applications, but their paths have been very different. While low code focuses on making application …

Mar 22, 2016 · Implementation models are much more longer to do and are only a visualization of the source code. Conceptual models should help you to better analyze, understand and …

Jan 11, 2022 · To contribute to this discussion, in this expert-voice paper, we compare and contrast low-code and model-driven approaches, identifying their differences and …

In a model-driven environment aiming at generating implementation code ensuring that extra-functional properties modeled at design level are preserved at execution time, a full round-trip...

low-code platforms is the differencing of data conforming to models in applications engineered with the low-code platform. Hence, approaches for model (and data) differencing in the context …

Low-code is about reducing the time and effort to create applications. Model-driven is about using a standard model format, usually what are called domain models or conceptual models to …

Implementation theories, models and frameworks offer guidance when implementing and sustaining healthcare evidence-based interventions. However, selection can be challenging …