Dynamic Random Testing of Web Services: A Methodology and Evaluation

In recent years, service oriented architecture (SOA) has been increasingly adopted to develop distributed applications in the context of Internet. To reliable SOA-based applications, an important issue is how ensure quality web services. this article, we propose a dynamic random testing (DRT) technique for services, which improvement over widely-practiced (RT) and partition (PT) approaches. We examine key issues when adapting DRT SOA, including framework, guidelines parameter settings, prototype such adaptation. Empirical studies are reported where used test three real-life mutation analysis employed measure effectiveness. Our experimental results show that, compared with baseline techniques, RT, Adaptive Testing (AT) Random Partition (RPT), demonstrates higher fault-detection effectiveness lower case selection overhead. Furthermore, theoretical setting confirmed be effective. The proposed provide effective efficient approach