Testing-supported Case-based Reasoning for Web Service Selection

MARTIN GARRIGA; ALEJANDRO ZUNINO; DIEGO ANABALON; ANDRES FLORES; ALAN DE RENZIS; ALEJANDRA CECHICH

Buenos Aires

Congreso; 2016 IEEE Biennial Congress of Argentina (ARGENCON); 2016

Universidad Tecnológica Nacional

Web Service discovery and selection deals with the retrieval of the most suitable Web Service, given a required functionality. Addressing an effective solution remains difficult when only functional descriptions of services are available. The Artificial Intelligence (AI) field have contributed significantly to support the Web Services lifecycle. In this paper, we propose an extension of a previous approach that applied Case-Based Reasoning (CBR) for Web Service Selection, in which Web Services are behaviorally tested for conformance of a givenrequired functionality.