Improving software size estimates by using probabilistic pairwise comparison matrices
J. Hihn, Karen Lum · 2004
The Pairwise Comparison technique is a general purpose estimation approach for capturing expertjudgment. This approach can be generalized to a probabilistic version using Monte Carlo methods to produce estimates of size distributions. The probabilistic pairwise comparison technique enables the estimator to systematically incorporate both estimation uncertainty as well as any uncertainty that arises from using multiple historical analogies as reference modules. In addition to describing the methodology, the results of the case study are also included. This paper is an extension of the work presented in [Lum & Hihn, 20031 and will show how the original software size estimates compared to the actual delivery size. It will also describe the techniques used to modify the approach based on lessons learned. 1.