
handle: 11311/571096
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 of mashability, a multidimension quality property that expresses the capability of a component to maximize the quality of a mashup, and the concept of role-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.
INF
INF
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 20 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
