Exploring model repositories by means of megamodel-aware search operators
Exploring model repositories by means of megamodel-aware search operators
复制标题
通过大型模型感知搜索运算符来探索模型存储库
DOI：
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复制
发表时间：
2018
期刊：
影响因子：
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通讯作者：
A. Pierantonio
中科院分区：
文献类型：
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作者：
Francesco Basciani;Juri Di Rocco;D. D. Ruscio;Ludovico Iovino;A. Pierantonio
在过去十年中，先进模型管理工具和技术的发展取得了巨大进步。尽管模型库的使用在工业界越来越受到关注，但其使用仍然因对底层平台语义的理解有限而受阻。因此，重用制品这一至关重要的目标导致了人们对更高效、更准确地搜索和检索制品的方法的持续探索。可以说，限制当前搜索引擎使用的一个因素是查询语言与库中不同且异构的制品之间的关系格之间的不一致。在本文中，提出了一种新的模型搜索方法。通过将库结构利用到元模型中，构思出了格式良好的搜索操作符，以便设计人员能够可靠地探索和浏览模型库。通过在MDEForge平台中使用Lucene搜索库实现该方法进行了实验研究。
Great strides have been made in the development of tools and techniques for advance model management over the last decade. Despite the use of model repositories is gaining traction in industry, their use is still hampered by the limited understanding of the underlying platform semantics. Consequently, the all-important goal of reusing artefacts has led to an enduring quest for ways to search and retrieve artifacts more efficiently and accurately. Arguably, a contributory factor limiting the use of current search engines is the poor alignment between the query languages and the lattice of relations among the different and heterogeneous artifacts in the repository. In this paper, a novel approach to model search is presented. By leveraging the repository structure into megamodels, wellformed search operators have been conceived in order to permit designers to reliably explore and browse model repositories. An experimental investigation has been conducted by implementing the approach in the MDEForge platform by employing the Lucene search library.