search menu icon-carat-right cmu-wordmark

Building Process Improvement Business Cases Using Bayesian Belief Networks and Monte Carlo Simulation

Technical Note
This report describes a collaboration between the SEI and Ericsson Research and Development to build a business case using high maturity measurement approaches that require limited measurement effort.
Publisher

Software Engineering Institute

CMU/SEI Report Number
CMU/SEI-2009-TN-017
DOI (Digital Object Identifier)
10.1184/R1/6572126.v1

Abstract

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 provided 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 a decision to implement agile methods to improve the quality of requirements.

Cite This Technical Note

Linders, B. (2009, July 1). Building Process Improvement Business Cases Using Bayesian Belief Networks and Monte Carlo Simulation. (Technical Note CMU/SEI-2009-TN-017). Retrieved May 24, 2024, from https://doi.org/10.1184/R1/6572126.v1.

@techreport{linders_2009,
author={Linders, Ben},
title={Building Process Improvement Business Cases Using Bayesian Belief Networks and Monte Carlo Simulation},
month={Jul},
year={2009},
number={CMU/SEI-2009-TN-017},
howpublished={Carnegie Mellon University, Software Engineering Institute's Digital Library},
url={https://doi.org/10.1184/R1/6572126.v1},
note={Accessed: 2024-May-24}
}

Linders, Ben. "Building Process Improvement Business Cases Using Bayesian Belief Networks and Monte Carlo Simulation." (CMU/SEI-2009-TN-017). Carnegie Mellon University, Software Engineering Institute's Digital Library. Software Engineering Institute, July 1, 2009. https://doi.org/10.1184/R1/6572126.v1.

B. Linders, "Building Process Improvement Business Cases Using Bayesian Belief Networks and Monte Carlo Simulation," Carnegie Mellon University, Software Engineering Institute's Digital Library. Software Engineering Institute, Technical Note CMU/SEI-2009-TN-017, 1-Jul-2009 [Online]. Available: https://doi.org/10.1184/R1/6572126.v1. [Accessed: 24-May-2024].

Linders, Ben. "Building Process Improvement Business Cases Using Bayesian Belief Networks and Monte Carlo Simulation." (Technical Note CMU/SEI-2009-TN-017). Carnegie Mellon University, Software Engineering Institute's Digital Library, Software Engineering Institute, 1 Jul. 2009. https://doi.org/10.1184/R1/6572126.v1. Accessed 24 May. 2024.

Linders, Ben. Building Process Improvement Business Cases Using Bayesian Belief Networks and Monte Carlo Simulation. CMU/SEI-2009-TN-017. Software Engineering Institute. 2009. https://doi.org/10.1184/R1/6572126.v1