
doi: 10.1109/icws.2016.98
handle: 11379/485088
Selection of existing services for agile Web application design offers many advantages, namely, the availability of widespread solutions in the form of data and services shared over the Web, and reduced development costs. In this paper, we propose a framework to support service selection, where a Web application developer takes into account choices made by other developers to learn from them in selecting suitable services. To this aim, we weight as more important the choices made by developers who present a larger number of followers in a network of social relationships. Such a network is used to compute developers' rank to support service selection.
Collaborative filtering; Developers' ranking; Service selection; Social network; Software; Computer Networks and Communications
Collaborative filtering; Developers' ranking; Service selection; Social network; Software; Computer Networks and Communications
| 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). | 2 | |
| 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). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
