Using information about functions in selecting test cases

  • Authors:

  • Markus Clermont;David Parnas

  • Affiliations:

  • University of Limerick, Limerick, Ireland;University of Limerick, Limerick, Ireland

  • Venue:
  • A-MOST '05 Proceedings of the 1st international workshop on Advances in model-based testing
  • Year:
  • 2005

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Abstract

We consider the problem of generating a set of test cases from a black box specification. We focus on stress testing, i.e. picking test cases that seem most likely to reveal program bugs. Our approach assumes that so-called interesting points, i.e. points in a function's domain where properties change, e.g. maxima, are likely to reveal any problems and examine how we can determine the interesting points for a function defined by a complex expression if we know the interesting points for the functions named in that expression.