2004
DOI: 10.1007/978-3-540-24679-4_156
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Web Services Testing, the Methodology, and the Implementation of the Automation-Testing Tool

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Cited by 5 publications
(5 citation statements)
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“…There is some research in the field of testing services, which is mainly focusing on testing Web services.AWSST (Automatic Web Services Testing Tool) [24] is a framework, which has the possibility to make load/stress testing and authorization testing. Coyote [22] tests services in a way that test scenarios are generated from the WSDL description of the Web service.…”
Section: Related Workmentioning
confidence: 99%
“…There is some research in the field of testing services, which is mainly focusing on testing Web services.AWSST (Automatic Web Services Testing Tool) [24] is a framework, which has the possibility to make load/stress testing and authorization testing. Coyote [22] tests services in a way that test scenarios are generated from the WSDL description of the Web service.…”
Section: Related Workmentioning
confidence: 99%
“…Tests are created by replacing each value with each boundary value, in turn, for appropriate type. In the paper [9,10,12], the authors propose a method of extending WSDL to describe dependency information which is useful for Web service testing. They suggest several extensions such as input-output dependency, invocation sequences, hierarchical functional description, and concurrent sequence specification.…”
Section: Introductionmentioning
confidence: 99%
“…Compared with the traditional software testing, Web service testing has many new features and faces complex problems, including the running environment sensitive, complex network environment and the diversity of remote call methods. In [4,5], they reviewed the requirements of the current Web services test, the problems and the current situation of the research, and classified the related research from their respective perspectives. In [6], they established a credible attribute model of the Web services: TIM-WS, described the relationship between the credible attribute and its measure factor, combined the self-learning of neural network with the global optimization of genetic algorithm, designed a credible Web services measurement model EPTMM and its basic algorithm ANNGA.…”
Section: Introductionmentioning
confidence: 99%