Research on Configuration-Driven Dynamic Form Generation

Authors

  • Qiankun Ji
  • Ying Ding
  • Ming Feng
  • Yushan Xu

DOI:

https://doi.org/10.54097/gfpadj33

Keywords:

Dynamic Form, Weight-Driven Adaptive Layout, JSON Schema

Abstract

Traditional static forms have two clear problems. They are not flexible enough. And they cost a lot to keep. They do not work well for complex business situations. And they cannot fit different devices well. These problems make traditional static forms hard to satisfy the needs of complex applications. This paper gives a configuration-driven way to make and improve dynamic forms. This method has two core technical parts. First, we build a standard form metadata model with JSON Schema. This model fully separates business logic from the front-end interface. It cuts the strong link between the two parts in traditional development. Second, we design a weight-driven adaptive layout algorithm. This algorithm lets forms change their layouts on their own. Forms can fit screens of different sizes well. We did comparative tests between this new method and traditional hard-coded forms. The test results show two clear advantages of the new method. It makes form rendering much faster. And it cuts down the time users need to fill out the form.

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References

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Published

28-05-2026

Issue

Section

Articles

How to Cite

Ji, Q., Ding, Y., Feng, M., & Xu, Y. (2026). Research on Configuration-Driven Dynamic Form Generation. Frontiers in Computing and Intelligent Systems, 16(2), 170-174. https://doi.org/10.54097/gfpadj33