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AnnoTestWeb/Run: Annotations Based Acceptance Testing

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Agile Processes in Software Engineering and Extreme Programming (XP 2010)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 48))

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Abstract

Testing is frequently reported as a crucial stage in the software development process. With traditional approaches acceptance testing is the last stage of the process before release. Acceptance Test Driven Development (ATDD) promotes the role of an expert customer in defining tests and uses tool support to automate and execute these tests. This abstract outlines a tool, AnnoTestWeb/Run aimed at expert customers specifying acceptance tests with reuse of existing documentation.

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References

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Author information

Authors and Affiliations

  1. Software Technology Research Centre,  

    David Connolly & Frank Keenan

  2. Regulated Software Research Group, Dundalk Institute of Technology, Dublin Road, Dundalk, Ireland

    Fergal Mc Caffery

Authors
  1. David Connolly
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  2. Frank Keenan
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  3. Fergal Mc Caffery
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Editor information

Editors and Affiliations

  1. Center for Applied Software Engineering, Free University of Bolzano-Bozen, Piazza Domenicani 3, 39100, Bozen-Bolzano, Italy

    Alberto Sillitti

  2. University of Waikato, 3216, Hamilton, New Zealand

    Angela Martin

  3. Lero - the Irish Software Engineering Research Centre, University of Limerick, Limerick, Ireland

    Xiaofeng Wang

  4. Nokia gate5 GmbH, 10115, Berlin, Germany

    Elizabeth Whitworth

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© 2010 Springer-Verlag Berlin Heidelberg

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Connolly, D., Keenan, F., Caffery, F.M. (2010). AnnoTestWeb/Run: Annotations Based Acceptance Testing. In: Sillitti, A., Martin, A., Wang, X., Whitworth, E. (eds) Agile Processes in Software Engineering and Extreme Programming. XP 2010. Lecture Notes in Business Information Processing, vol 48. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13054-0_42

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  • DOI: https://doi.org/10.1007/978-3-642-13054-0_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13053-3

  • Online ISBN: 978-3-642-13054-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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