- The document discusses the history and limitations of traditional software metrics approaches, noting a lack of commercial relevance and failure to meet the objective of quantitative risk assessment. - It proposes that causal Bayesian network models provide a better approach to using metrics to quantitatively predict and manage risks, allowing decision-making and intervention. - An example causal model is presented relating defects introduced and found to factors like complexity, testing effort, and design quality, with results showing actual versus predicted defects.