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Automated Test Case Generation for Java EE Based Web Applications

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Tests and Proofs (TAP 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10889))

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Abstract

Automated testing is important for validating the behavior of programs with complex user interfaces, such as web applications. In the enterprise context, web applications are popular client-server programs that provide rendered web pages as a user front-end, and the business logic is typically implemented on the server-side. In this paper, we present an approach to automatically generate test cases for component-based user interfaces for web applications built on the Java EE platform. We generate a sequence of user actions to navigate through the web application. For each supported user action, we gather constraints from the view template describing the web page (e.g. a button must be enabled in order to be clicked by a user), as well as constraints that are introduced while executing a server-side component. We have implemented our approach in a tool to determine its practical use in an experiment.

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Notes

  1. 1.

    https://javaee.github.io/javaserverfaces-spec/, accessed March 2018.

  2. 2.

    The application issue-tracker is available as open-source on a public repository [5].

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Author information

Authors and Affiliations

  1. Department of Information Systems, University of Münster, Leonardo-Campus 3, 48149, Münster, Germany

    Andreas Fuchs

Authors
  1. Andreas Fuchs
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Corresponding author

Correspondence to Andreas Fuchs .

Editor information

Editors and Affiliations

  1. ENSIIE, Evry, France

    Catherine Dubois

  2. Université Paris-Sud, Gif sur Yvette, France

    Burkhart Wolff

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Fuchs, A. (2018). Automated Test Case Generation for Java EE Based Web Applications. In: Dubois, C., Wolff, B. (eds) Tests and Proofs. TAP 2018. Lecture Notes in Computer Science(), vol 10889. Springer, Cham. https://doi.org/10.1007/978-3-319-92994-1_10

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  • DOI: https://doi.org/10.1007/978-3-319-92994-1_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92993-4

  • Online ISBN: 978-3-319-92994-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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