Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.505168
Title: An automatic test framework for BPEL-based Web Services
Author: Zheng, Yongyan
Awarding Body: University of Surrey
Current Institution: University of Surrey
Date of Award: 2007
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Abstract:
Recent years have seen·a rapid growth in the development of web services technology. BPEL (Business Process Execution Language) as a de-facto standard for web service orchestration has drawn particularly attention from researchers and industries. BPEL is a semi-formal flow language with complex features, so it is essential to apply automated validation tools in finding the interaction inconsistencies ofBPEL processes. In addition to validating the model properties by verification, it is desirable to test the correctness with respect to the functional requirements. To test a model thoroughly, we need to cover different execution scenarios. As is well known, it is tedious, time-consuming, and error prone to design test cases manually, especially for complex modelling languages. Hence, it is desirable to apply existing model-based-testing techniques in the domain of web services. This thesis proposes a web service automaton as the operational semantics for BPEL, and presents an automatic test framework to verify and test BPEL processes. From the testing point of view, we show the suitability of using web service automaton formalism for BPEL by modelling various BPEL features. Based on the web service automata, we provide a model checking based test framework to verify the general properties and generate test cases for BPEL processes. The framework supports both control-flow and data-flow testing of BPEL. Two levels of test cases can be generated to check the behavioural and interface conformance for web services. To our knowledge, none of the prior research studies the verification and testing for BPEL control and data flows in a unified approach.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.505168  DOI: Not available
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