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An Automated Test Suite Generating Approach for Stateful Web Services

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Software Analysis, Testing, and Evolution (SATE 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11293))

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Abstract

Web Services are the W3C-endorsed realization of the Service-Oriented Architecture (SOA). How to automatically generate effective test suites is a key problem in Web services testing. At present, the existing testing methods may cause the redundancy of test suite and the decrease of fault detecting ability. So this paper proposes an automated test suite generation approach based on EFSM (Extended Finite State Machine) model and operation interface contract. The operation tree model is firstly constructed according to the standard WSDL (Web Services Description Language) document. By appending semantic annotation to standard WSDL, the EFSM model is then built to generate operation sequences automatically. Finally, the optimal test suite can be obtained according to the operation interface contract. Moreover, the experiment shows that the proposed approach can generate reasonable test suites for stateful Web services effectively, while enhancing the fault detection ability and optimality on the size of existing approach.

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Authors and Affiliations

  1. Jiangsu Automation Research Institute, Lianyungang, 215006, China

    Yin Li, Zhi-Guang Sun & Ting-Ting Jiang

Authors
  1. Yin Li
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  2. Zhi-Guang Sun
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  3. Ting-Ting Jiang
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Corresponding author

Correspondence to Yin Li .

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Editors and Affiliations

  1. Nanjing University, Nanjing, China

    Lei Bu

  2. Peking University, Peking, China

    Yingfei Xiong

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Li, Y., Sun, ZG., Jiang, TT. (2018). An Automated Test Suite Generating Approach for Stateful Web Services. In: Bu, L., Xiong, Y. (eds) Software Analysis, Testing, and Evolution. SATE 2018. Lecture Notes in Computer Science(), vol 11293. Springer, Cham. https://doi.org/10.1007/978-3-030-04272-1_12

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  • DOI: https://doi.org/10.1007/978-3-030-04272-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04271-4

  • Online ISBN: 978-3-030-04272-1

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