Author:
Greifenberg Timo,Hillemacher Steffen,Hölldobler Katrin
Abstract
AbstractThe usage of models within model-driven software development aims at facilitating complexity management of the system under development and closing the gap between the problem and the solution domain. Utilizing model-driven software development (MDD) tools for agile development can also increase the complexity within a project. The huge number of different artifacts and relations, their different kinds, and the high degree of automation hinder the understanding, maintenance, and evolution within MDD projects. A systematic approach to understand and manage MDD projects with a focus on its artifacts and corresponding relations is necessary to handle the complexity. The artifact-based analysis presented in this paper is such an approach. This paper gives an overview of different contributions of the artifact-based analysis but focuses on a specific kind of analysis: architecture consistency checking of model-driven development projects. By applying this kind of analyses, differences between the desired architecture and the actual architecture of the project at a specific point in time can be revealed.
Publisher
Springer International Publishing
Cited by
1 articles.
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1. Artifact and reference models for generative machine learning frameworks and build systems;Proceedings of the 20th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences;2021-10-17