Goal-oriented test data generation for pointer programs

  • Authors:
  • Arnaud Gotlieb;Tristan Denmat;Bernard Botella

  • Affiliations:
  • IRISA/INRIA, Campus Beaulieu, 35042 Rennes Cedex, France;IRISA/INRIA, Campus Beaulieu, 35042 Rennes Cedex, France;THALES AEROSPACE, 78851 Elancourt Cedex, France

  • Venue:
  • Information and Software Technology
  • Year:
  • 2007

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Abstract

Automatic test data generation leads to the identification of input values on which a selected path or a selected branch is executed within a program (path-oriented vs. goal-oriented methods). In both cases, several approaches based on constraint solving exist, but in the presence of pointer variables only path-oriented methods have been proposed. Pointers are responsible for the existence of conditional aliasing problems that usually provoke the failure of the goal-oriented test data generation process. In this paper, we propose an overall constraint-based method that exploits the results of an intraprocedural points-to analysis and provides two specific constraint combinators for automatically generating goal-oriented test data. This approach correctly handles multi-levels stack-directed pointers that are mainly used in C programs. The method has been fully implemented in the test data generation tool INKA and first experiences in applying it to a variety of existing programs are presented.