A social network-based framework for data services selection in modern web application design

In recent years the design of enterprise Web applications is more and more based on the integration of resources delivered through data services from outside the organization boundaries. Searching and composing existing data services offer many advantages, namely, the availability of widespread solutions in the form of services and data shared over the Web, and reduced development costs. In this scenario, new methods for speeding up the design process are emerging and, in particular, developers’ social networks have been established, where de- velopers follow other developers to learn from their choices in selecting suitable services. In this paper, we propose a framework to support data service selection for modern Web application design, by also consider- ing the developers’ social network. The network of social relationships, properly weighted with the developers’ credibility, is used to compute developers’ rank. This rank qualifies developers’ experience in selecting data services.