SOArMetrics: A Toolkit for Testing and Evaluating SOA Middleware
Xiang Li, Jinpeng Huai, Xudong Liu, Jin Zeng, Zicheng Huang
Abstract
Xiang Li, Jinpeng Huai, Xudong Liu, Jin Zeng, Zicheng Huang
Abstract
SOA has emerged as a new methodology for software development and system integration through composing existing web services. The basic idea of SOA bootstrap testing is to test and evaluate SOA middleware and applications by using existing SOA infrastructures. In this paper, we present a toolkit, named SOArMetrics, is proposed to enable the SOA bootstrap testing based on our existing SOA middleware, SOArWare. We describe the design requirements and implementation details of SOArMetrics, which abundantly reuse the existing modules in SOArware and hence prominently decrease its development work. We also present three case studies and our experimental experience, which shows that SOArMetrics provides a manageable, flexible and reliable testing and evaluating framework for service oriented applications.
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SOA has emerged as a new methodology for software development and system integration through composing existing web services. The basic idea of SOA bootstrap testing is to test and evaluate SOA middleware and applications by using existing SOA infrastructures. In this paper, we present a toolkit, named SOArMetrics, is proposed to enable the SOA bootstrap testing based on our existing SOA middleware, SOArWare. We describe the design requirements and implementation details of SOArMetrics, which abundantly reuse the existing modules in SOArware and hence prominently decrease its development work. We also present three case studies and our experimental experience, which shows that SOArMetrics provides a manageable, flexible and reliable testing and evaluating framework for service oriented applications.
Key concepts: OASIS SOA Reference Model, Computer science, Service-oriented architecture, Middleware (distributed applications), Software engineering, Reuse, Web service, Integration testing