Using QoS for Relevance Feedback in Service Discovery: A Preliminary Empirical Investigation

Service-centric systems pose new challenges and opportunities for requirements processes and techniques. This paper describes our requirements-based service discovery tool that exploits an ontology-based quality specification mechanism to receive early feedback on candidate services that best match quality requirements. An empirical evaluation of the tool is presented that assesses the feasibility of the approach to filtering candidate services based upon quality using real-world scenarios from our industrial partners. The results reveal that commitment to a common ontology helps achieving the desired quality-based filtering.