'Institute of Electrical and Electronics Engineers (IEEE)'
Doi
Abstract
Web mashups are a new generation of applications
based on the composition of ready-to-use, heterogeneous
components. In different contexts, ranging from the consumer Web to Enterprise systems, the potential of this new technology is to make users evolve from passive receivers of applications to actors actively involved in the creation of their artifacts, thus accommodating the inherent variability of the users’ needs.
Current advances in mashup technologies are good candidates
to satisfy this requirement. However, some issues are still largely
unexplored. In particular, quality issues specific for this class
of applications, and the way they can guide the users in the
identification of adequate components and composition patterns, are neglected. This paper discusses quality dimensions that can capture the intrinsic quality of mashup components, as well as the components’ capacity to maximize the quality and the userperceived value of the overall composition. It also proposes an assisted composition process in which quality becomes the driver for recommending to the users how to complete mashups, based on the integration of quality assessment and recommendation techniques within a tool for mashup development
