Cause-effect graphing analysis and validation of requirements

  • Authors:
  • Khenaidoo Nursimulu;Robert L. Probert

  • Affiliations:
  • Bell-Northern Research and Telecommunications Software Engineering Research Group, Department of Computer Science, University of Ottawa, 150 Louis Pasteur/Priv., Ottawa, Ontario, Canada K1N 6N5;Bell-Northern Research and Telecommunications Software Engineering Research Group, Department of Computer Science, University of Ottawa, 150 Louis Pasteur/Priv., Ottawa, Ontario, Canada K1N 6N5

  • Venue:
  • CASCON '95 Proceedings of the 1995 conference of the Centre for Advanced Studies on Collaborative research
  • Year:
  • 1995

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Abstract

Cause-Effect Graphing (CEG) is used to derive test cases from a given natural language specification to validate its corresponding implementation. This paper surveys some known drawbacks to CEG analysis and shows how these can be overcome. It also shows how the CEG technique can be used to derive discriminating customer-directed scenarios (use-cases) for validating requirements.