1. Dynamic Random Testing of Web Services: A Methodology and Evaluation
- Author
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Tsong Yueh Chen, Chang-ai Sun, Hepeng Dai, Dave Towey, Kai-Yuan Cai, and Guan Wang
- Subjects
Information Systems and Management ,Computer Networks and Communications ,computer.internet_protocol ,business.industry ,Computer science ,Reliability (computer networking) ,Random testing ,020207 software engineering ,Context (language use) ,02 engineering and technology ,Service-oriented architecture ,computer.software_genre ,Computer Science Applications ,Reliability engineering ,Hardware and Architecture ,0202 electrical engineering, electronic engineering, information engineering ,Overhead (computing) ,020201 artificial intelligence & image processing ,The Internet ,Computerized adaptive testing ,Web service ,business ,computer - Abstract
In recent years, Service Oriented Architecture (SOA) has been increasingly adopted to develop distributed applications in the context of the Internet. To develop reliable SOA-based applications, an important issue is how to ensure the quality of web services. In this paper, we propose a dynamic random testing (DRT) technique for web services, which is an improvement over the widely-practiced random testing (RT) and partition testing (PT). We examine key issues when adapting DRT to the context of SOA, including a framework, guidelines for parameter settings, and a prototype for such an adaptation. Empirical studies are reported where DRT is used to test three real-life web services, and mutation analysis is employed to measure the effectiveness. Our experimental results show that, compared with the three baseline techniques, RT, Adaptive Testing (AT) and Random Partition Testing (RPT), DRT demonstrates higher fault-detection effectiveness with a lower test case selection overhead. Furthermore, the theoretical guidelines of parameter setting for DRT are confirmed to be effective. The proposed DRT and the prototype provide an effective and efficient approach for testing web services. IEEE
- Published
- 2022