Low-Modeling of Software Systems

TL;DR

The paper proposes low-modeling as a new approach to simplify complex models in model-driven engineering, aiming to improve software development for increasingly complex systems.

Contribution

It introduces the concept of low-modeling to enhance model-driven engineering techniques for managing complex software systems.

Findings

Low-modeling reduces model complexity and improves manageability.

Enhances the effectiveness of model-driven engineering methods.

Prepares software development for next-generation systems.

Abstract

There is a growing need for better development methods and tools to keep up with the increasing complexity of new software systems. New types of user interfaces, the need for intelligent components, sustainability concerns, ... bring new challenges that we need to handle. In the last years, model-driven engineering has been key to improving the quality and productivity of software development, but models themselves are becoming increasingly complex to specify and manage. In this paper, we present the concept of low-modeling as a solution to enhance current model-driven engineering techniques and get them ready for this new generation of software systems.