Statistical Testing

Motivation

Testing and evaluation of systems requires that one select appropriate tests, conduct testing under controlled circumstances, determine when sufficient testing has been performed, and make a reasonable generalization from the test results. This is a difficult and challenging problem.

Statistical testing provides a practical, powerful model to pose and answer these questions under schedule, economic, manpower, or other constraints.

Papers and Presentations

• S. J. Prowell, ``Computations for Markov chain usage models,'' Computer Science Technical Report UTCS-03-505, The University of Tennessee, Knoxville, TN, 2003.
• S. J. Prowell, ``Using Markov chain usage models to test complex systems,'' HICSS'38, January 2005. [Presentation]
• S. J. Prowell, ``A cost-benefit stopping criteria for statistical testing,'' HICSS'37, January 2004.
• S. J. Prowell and J. H. Poore, ``Computing system reliability using Markov chain usage models,'' Journal of Systems and Software, 73(2):219-225, October 2004.
• S. J. Prowell, ``JUMBL: A tool for model-based statistical testing,'' HICSS'36, January 2003.
• S. J. Prowell, ``Markov Chain Usage Models and Concurrency,'' HICSS'38, January 2005. [Presentation]
• S. J. Prowell, ``State of the Art of Model-Based Testing with Markov Chain Usage Models,'' Dagstuhl Seminar 04731, Perspectives on Model Based Testing, September 2004. [Shorter summary]

Tools

The JUMBL is a software tool for statistical testing based on Markov chain usage models developed at the SQRL. Expertise, training, and support is available from Software Silver Bullets.

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