Generating Test Cases from an OO Model with an AI Planning System

  • Authors:
  • Michael Scheetz;Anneliese von Mayrhauser;Robert France;Eric Dahlman;Adele E. Howe

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • ISSRE '99 Proceedings of the 10th International Symposium on Software Reliability Engineering
  • Year:
  • 1999

Quantified Score

Hi-index 0.00

Visualization

Abstract

Black box test generation needs a model of the system under test to describe what is to be tested. Testing criteria and test objectives define how it is to be tested. We explain how to represent a system under test via UML models. We derive test objectives from the UML models and use the objectives and the models to generate test cases by mapping them into a problem description for an AI Planner. The planner uses the problem description to generate a test suite that satisfies the UML-derived test objectives.