Estimating Web Service Interface Quality through Conventional Object-oriented Metrics [Latindex]

Abstract

Historically, software engineers have conceived metric suites as valuable tools to estimate the quality of their software artifacts. Recently, a fresh computing paradigm called Service-Oriented Computing (SOC) has emerged at the crossing of massively distributed and heterogeneous software. This paper presents a statistical correlation analysis showing that classic software engineering metrics can be used to predict the most relevant quality attributes of WSDL documents, the essential software artifact when materializing this novel computing paradigm with Web-based technologies. For the experiments, two recent WSDL-level metrics catalogs and 154 real world WSDL documents have been employed.