A Semantic Demand-Service Matching Method based on OWL-S for Cloud Testing Service Platform

Abstract

Traditional testing service incurs high cost and low efficiency because of the expenditure on testing tools and the geographical location. Cloud testing service platform (CTSP) uses cloud infrastructure for testing service, which leads to a more cost-effective testing solution. However, how to realize the intelligent matching among the various testing services and the testing demands is one of the common issues and aims for CTSP. This paper investigates a semantic demand-service matching method for CTSP. Considering the diverse, heterogeneous and dynamic characteristics of cloud testing services, an Input, Output, Precondition, Effect (IOPE) matching model based on Web Ontology Language for Service (OWL-S) is proposed, and a three-phase matching process is developed consisting of parameter matching, attribute matching and global matching. To compute the matching degree between a testing service and a testing demand during the matching process, a quantitative matching method is put forward. At last, the effectiveness and feasibility of the proposed method is tested by a case study.