• Corpus ID: 17674998

Identification of Logical Errors through Monte-Carlo Simulation

  title={Identification of Logical Errors through Monte-Carlo Simulation},
  author={Hilary L. Emmett and Lawrence I. Goldman},
The primary focus of Monte Carlo simulation is to identify and quantify risk related to uncertainty and variability in spreadsheet model inputs. The stress of Monte Carlo simulation often reveals logical errors in the underlying spreadsheet model that might be overlooked during day-to-day use or traditional "what-if" testing. This secondary benefit of simulation requires a trained eye to recognize warning signs of poor model construction. 
3 Citations
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A risk and control-oriented study of the practices of spreadsheet application developers
  • M. Hall
  • Computer Science
    Proceedings of HICSS-29: 29th Hawaii International Conference on System Sciences
  • 1996
The significance to the management of end-user computing of tolerating a high level of risk is discussed and the need for an end- user spreadsheet control model is established.
“ Spreadsheet testing using interval analysis ” , Klagenfurt University
  • 2001