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Model-Based Search and Ranking of Web APIs across Multiple Repositories

机译:跨多个存储库的基于模型的Web API搜索和排名

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Web API search and reuse for agile Web application development may benefit from selection criteria that combine several perspectives: they can be performed based on features used to describe APIs, or according to the co-occurrence of Web APIs in the same applications, or they can be driven through ratings assigned by designers who used the Web APIs for their own mashups. Nevertheless, different Web API repositories usually focus on a subset of these perspectives, thus providing complementary Web API descriptions. In this paper, we propose a unified model for Web API characterization. The model enables a cross-repository search of Web APIs and mashups, based on different kinds of similarity between them, identified regardless the complementarity of their descriptions. This unified representation improves retrieval results if compared with a Web API search performed over multiple repositories considered separately.
机译:用于敏捷Web应用程序开发的Web API搜索和重用可能会受益于选择标准,这些选择标准结合了多种观点:可以基于用于描述API的功能或根据同一应用程序中Web API的同时出现来执行它们,或者可以由使用Web API进行自己的mashup的设计人员分配的等级来驱动。尽管如此,不同的Web API存储库通常集中于这些观点的子集,因此提供了补充性的Web API描述。在本文中,我们提出了用于Web API表征的统一模型。该模型能够根据Web API和混搭之间的不同种类的相似性(无论描述的互补性如何),对Web API和混搭进行跨存储库搜索。如果与在单独考虑的多个存储库上执行的Web API搜索相比,这种统一表示可以改善检索结果。

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