A Low-Code Development Environment to Orchestrate Model Management Services

ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, APMS 2021, PT I(2021)

引用 2|浏览5
暂无评分
摘要
The current digital transformation in production systems has positioned model-driven engineering (MDE) as a promising development solution to leverage models as first-class entities and support complex systems' development through dedicated abstractions. Models are specified through domain-specific languages and consumed by dedicated model management services, which implement automation and analysis services. Achieving complex model-driven tasks that involve several model management services and multiple model repositories can be a difficult and error-prone task. For instance, modelers have to identify the proper atomic operations among available services, connect to remote model repositories, and figure out their composition to satisfy the final goal. Different composition proposals have been introduced in MDE even though a satisfactory solution is still missing. In this paper, we propose a low-code development environment to support citizen developers to plan, organize, specify and execute model-management workflows underpinning the development of complex systems. Thus, developers are relieved from managing low-level details, e.g., related to the discovery, orchestration, and integration of the needed model management services.
更多
查看译文
关键词
Production system development, Low-code development platform, Domain specific language, Cloud-based model repository, Workflow engine
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要