Catering Quality Evaluation Design for Service/Cloud Computing through Visualized Semantics Locating

Abstract

the era of service\cloud computing brings unprecedented request for quality evaluation. Existing quality evaluation usually relies on a set of organized quality properties. The organization of quality properties partially determines the quality of a quality model which usually relies on empirically accumulated knowledge and implicit understanding of the semantics relationships among quality properties. To ease building flexible, omnipresent and efficient quality evaluations which initially take the form of natural expressions, based on the hypotheses: (1) the existence of multiple semantics of a single concept/expression and (2) the existence of cognitive semantic distance among concepts, we propose an approach to support visualized and uniform semantics locating toward aiding organizing, manipulating and optimization of concepts of quality properties in a unified manner. Initial cases are illustrated.