Integration of a graph-based model indexer in commercial modelling tools

A. García-Domínguez, Konstantinos Barmpis, D. Kolovos, M. A. D. Silva, Antonin Abhervé, A. Bagnato
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引用次数: 11

Abstract

Softeam has over 20 years of experience providing UML-based modelling solutions, such as its Modelio modelling tool, and its Constellation enterprise model management and collaboration environment. Due to the increasing number and size of the models used by Softeam's clients, Softeam joined the MONDO FP7 EU research project, which worked on solutions for these scalability challenges and produced the Hawk model indexer among other results. This paper presents the technical details and several case studies on the integration of Hawk into Softeam's toolset. The first case study measured the performance of Hawk's Modelio support using varying amounts of memory for the Neo4j backend. In another case study, Hawk was integrated into Constellation to provide scalable global querying of model repositories. Finally, the combination of Hawk and the Epsilon Generation Language was compared against Modelio for document generation: for the largest model, Hawk was two orders of magnitude faster.
商业建模工具中基于图的模型索引器的集成
Softeam在提供基于uml的建模解决方案方面有超过20年的经验,比如它的Modelio建模工具,以及它的Constellation企业模型管理和协作环境。由于Softeam客户使用的模型数量和规模不断增加,Softeam加入了MONDO FP7欧盟研究项目,该项目致力于解决这些可扩展性挑战,并产生了Hawk模型索引器等成果。本文介绍了将Hawk集成到Softeam的工具集中的技术细节和几个案例研究。第一个案例研究测量了Hawk使用不同数量的Neo4j后端内存对Modelio支持的性能。在另一个案例研究中,Hawk被集成到Constellation中,以提供模型存储库的可伸缩全局查询。最后,将Hawk和Epsilon生成语言的组合与Modelio进行文档生成的比较:对于最大的模型,Hawk要快两个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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