Building Process Improvement Business Cases Using Bayesian Belief Networks and Monte Carlo Simulation
CARNEGIE-MELLON UNIV PITTSBURGH PA SOFTWARE ENGINEERING INST
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Many organizations require quality improvement initiatives to be based on quantified business cases. This leads some organizations to start measurement programs to collect data about current performance-a lengthy and expensive process that requires a strong commitment from management. This report describes a collaboration between the Software Engineering Institute and Ericsson Research and Development, The Netherlands, to build a business case using high maturity measurement approaches that require limited measurement effort. For this project, a Bayesian belief network BBN and Monte Carlo simulation were combined to build a business case for quality improvement. Using a BBN gave quick insight into potential areas of improvement based on relevant quality factors and the current performance level of the organization. Monte Carlo simulation enabled a detailed calculation of the likely business results in the areas of potential improvement. This approach led to the decision to implement agile methods to improve the quality of requirements.
- Computer Programming and Software