A Quality-based Framework for Leveraging the Process of Mashup Component Selection

Abstract

Mashups are a new and interesting brand of Web 2.0 applications. They are simply built from available mashup components on the Web providing functionality, and content. The ever-increasing number and diversity of mashup components makes the process of selecting proper components a challenging task. Hence, the present thesis work is directed towards presenting a quality-based framework providing a recommendation-based mechanism to enhance this process.