Quality-Based Recommendations for Mashup Composition
Quality-Based Recommendations for Mashup Composition
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DOI：
10.1007/978-3-642-16985-4_32
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发表时间：
2010-07
期刊：
影响因子：
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通讯作者：
Matteo Picozzi;Marta Rodolfi;C. Cappiello;M. Matera
中科院分区：
文献类型：
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作者：
Matteo Picozzi;Marta Rodolfi;C. Cappiello;M. Matera
在组合mashup时，选择合适的服务主要基于功能需求，而不考虑单个服务的质量。在本文中，我们表明，组件服务的质量可以推动生产的建议，可以帮助建设质量的混搭。我们利用mashup服务的质量模型，并讨论了mashability的概念，一个多维质量属性，表示组件的能力，以最大限度地提高mashup的质量，和基于角色的组合质量的概念，即，mashup组合的质量根据组合的服务在mashup中扮演的特定角色进行加权。然后，我们将展示如何这样的概念可以使生产质量为基础的建议的混搭设计。
When composing mashups, the selection of suitable services is mainly based on functional requirements and does not consider the quality of the single services. In this paper, we show that the quality of component services can drive the production of recommendations that can help building quality mashups. We capitalize on a quality model for mashup services and discuss the concept ofmashability, a multi-dimension quality property that expresses the capability of a component to maximize the quality of a mashup, and the concept ofrole-based composition quality, i.e., the quality of mashup compositions weighted according to specific roles that the composed services play within the mashup. We then show how such concepts can enable the production of quality-based recommendations for the mashup design.