Zynerator: Bridging Model-Driven Architecture and Microservices for Enhanced Software Development

Author:

Zouani Younes1ORCID,Lachgar Mohamed2ORCID

Affiliation:

1. LAMAI Laboratory, Faculty of Sciences and Technology, Cadi Ayyad University, Marrakesh 40000, Morocco

2. LTI Laboratory, ENSA, University Chouaib Doukkali, El Jadida 24002, Morocco

Abstract

Model-driven architecture (MDA) has demonstrated significant potential in automating code generation processes, yet its application often falls short in addressing the complexities of modern architectural styles, notably microservices. Microservice architecture, characterized by its decomposition of applications into small, independently deployable services, presents unique challenges and opportunities that traditional MDA approaches struggle to accommodate. In this paper, Zynerator, a novel framework that bridges the gap between model-driven architecture and microservice development, is presented. By integrating semantic decorators into the PIM, Zynerator empowers end-users to express intricate functional and non-functional requirements, laying the foundation for the generation of contextually appropriate code. Moreover, Zynerator goes beyond traditional MDA capabilities by offering a solution for microservice architecture integration, enabling the generation of service gateways, service discovery mechanisms, and other essential components inherent to microservice ecosystems. This integration not only streamlines the development process but also ensures the scalability, resilience, and maintainability of microservice-based applications. Through Zynerator, a flexible and comprehensive solution is presented that leverages the strengths of model-driven architecture (MDA), while addressing the evolving needs of modern software architecture, particularly in the realm of microservice development. Empirical results showed that Zynerator enhances code generation alignment to functional requirements by 55%, reduces microservice adoption in terms of communication and deployment times by 30%, and increases system scalability by supporting up to 10,000 concurrent users, without performance degradation.

Publisher

MDPI AG

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3