A Simple Methodology for Model-Driven Business Innovation and Low Code Implementation

TL;DR

This paper introduces EasInnova, a model-driven methodology enabling non-technical users to innovate business processes and develop enterprise applications using Low Code platforms, exemplified through a food delivery case.

Contribution

It presents a structured, three-stage model-driven approach tailored for non-technical users to facilitate business innovation and Low Code implementation.

Findings

The methodology effectively guides non-technical users in business process modeling.

EasInnova successfully transfers models onto BonitaSoft platform.

The approach simplifies enterprise application development for domain experts.

Abstract

Low Code platforms, according to Gartner Group, represent one of the more disruptive technologies in the development and maintenance of enterprise applications. The key factor is represented by the central involvement of business people and domain expert, with a substantial disintermediation with respect to technical people. In this paper we propose a methodology conceived to support non-technical people in addressing business process innovation and developing enterprise software application. The proposed methodology, called EasInnova, is solidly rooted in Model-Driven Engineering and adopts a three staged model of an innovation undertaking. The three stages are: AsIs that models the existing business scenario; Transformation that consists in the elaboration of the actual innovation; ToBe that concerns the modeling of new business scenario. The core of EasInnova is represented by a matrix where columns are the three innovation stages and the rows are the three Model-Driven Architecture layers: CIM, PIM, PSM. The cells indicate the steps to be followed in achieving the sought innovation. Finally, the produced models will be transferred onto a BonitaSoft, the Low Code platform selected in our work. The methodology is described by means of a simple example in the domain of home food delivery.