In Search of the Essence of No-Code - Elements of Data Modeling

Auteurs

Favre J.M., De Oliveira R.A., Sottet J.S., Quast M.

Référence

Proceedings - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2023, pp. 878-887, 2023

Description

Low-code and no-code development has emerged as a significant trend in the software industry, empowering the masses and revolutionizing the way software applications are created. While often labeled as buzzwords, these two terms correspond in reality to a very large set of tools and growing communities. While many studies have been made for low-code, this study aims instead at better understanding the essence of no-code. To do so, we propose, a rigorous selection of 9 data centric no-code tools. Then, we study through the lens of data-modeling (e.g., UML/Class + OCL), how features proposed by those tools compare to their opposite, i.e. coding approaches. Thus, exhibiting an empirical way to define no-code through comparison with coding approaches.

Lien

doi:10.1109/MODELS-C59198.2023.00138