The Role of Models and Megamodels at Runtime

TL;DR

This paper explores how megamodel concepts can be applied to manage multiple interrelated runtime models in model-driven software development, enhancing organization, automation, and supporting self-adaptive systems.

Contribution

It introduces a novel application of megamodels for runtime models, providing a categorization and demonstrating their benefits through a case study.

Findings

Megamodels help organize multiple runtime models effectively.

Applying megamodels increases automation in managing runtime models.

The approach supports self-adaptive software systems.

Abstract

In model-driven software development a multitude of interrelated models are used to systematically realize a software system. This results in a complex development process since the models and the relations between the models have to be managed. Similar problems appear when following a model-driven approach for managing software systems at runtime. A multitude of interrelated runtime models are employed simultaneously, and thus they have to be maintained at runtime. While for the development case megamodels have emerged to address the problem of managing models and relations, the problem is rather neglected for the case of runtime models by applying ad-hoc solutions. Therefore, we propose to utilize megamodel concepts for the case of multiple runtime models. Based on the current state of research, we present a categorization of runtime models and conceivable relations between them. The categorization describes the role of interrelated models at runtime and demonstrates that several approaches already employ multiple runtime models and relations. Then, we show how megamodel concepts help in organizing and utilizing runtime models and relations in a model-driven manner while supporting a high level of automation. Finally, the role of interrelated models and megamodels at runtime is discussed for self-adaptive software systems and exemplified by a case study.