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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/59639
- Title
- Tag-based techniques for black-box test case prioritization for service testing
- Author(s)
- Mei, Lijun; Chan, W. K.; Tse, T. H.; Merkel, Robert G.
- Abstract
- A web service may evolve autonomously, making peer web services in the same service composition uncertain as to whether the evolved behaviors may still be compatible to its originally collaborative agreement. Although peer services may wish to conduct regression testing to verify the original collaboration, the source code of the former service can be inaccessible to them. Traditional code-based regression testing strategies are inapplicable. The rich interface specifications of a web service, however, provide peer services with a means to formulate black-box testing strategies. In this paper, we formulate new test case prioritization strategies using tags embedded in XML messages to reorder regression test cases, and reveal how the test cases use the interface specifications of services. We evaluate experimentally their effectiveness on revealing regression faults in modified WS-BPEL programs. The results show that the new techniques can have a high probability of outperforming random ordering.
- Publication type
- Conference paper
- Research centre
- Swinburne University of Technology
- Source
- Proceedings of the 9th International Conference on Quality Software (QSIC 2009), Jeju, Korea, 24-25 August 2009, pp. 21-30
- Publication year
- 2009
- FOR Code(s)
- 080309 Software Engineering
- Keyword(s)
- Black box testing; Encapsulation testing; Regression testing; Service testing; Software testing; Web Services Description Language; WS-BPEL; WSDL
- Publisher
- IEEE
- ISSN
- 1550-6002 (series ISSN)
- ISBN
- 9781424459124, 1424459125
- Publisher URL
- http://dx.doi.org/10.1109/QSIC.2009.12
- Copyright
- Copyright © 2009 IEEE.
- Research Projects
-
A comprehensive testing methodology for embedded software, Australian Research Council grant number DP0984760
- Peer reviewed



