Generative Acceptance Testing for Difficult-to-Test Software

نویسنده

  • Jennitta Andrea
چکیده

While there are many excellent acceptance testing tools and frameworks available today, this paper presents an alternative approach, involving generating code from tests specified in a declarative tabular format within Excel spreadsheets. While this is a general approach, it is most applicable to difficultto-test situations. Two such situations are presented: one involving complex fixture setup, and another involving complex application workflow concerns.

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تاریخ انتشار 2004