Predicting Software Quality using Bayesian Belief Networks

  title={Predicting Software Quality using Bayesian Belief Networks},
  author={Martin Neil and Norman E. Fenton},
In the absence of an agreed measure of software quality the density of defects has been a very commonly used surrogate measure. As a result there have been numerous attempts to build models for predicting the number of residual software defects. Typically, the key variables in these models are either size and complexity metrics or measures arising from testing information. There are, however, serious statistical and theoretical difficulties with these approaches. Using Bayesian Belief Networks… CONTINUE READING
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