Improving the Reliability of Function Point Measurement An Empirical Study October 1991 Classic Reprint

Excerpt from Improving the Reliability of Function Point Measurement: An Empirical Study: October 1991

Zit is interesting to note that all of these questions deal with how to measure the five function count types, and none with the fourteen 'complexity factors'. This reflects the fact that any reliability concerns relating to the fourteen complexity factors are small, given that their potential impact on the final FP count is constrained by the mathematical formula [albrecht and Gaffney, 1983] [bock and Klepper, This is in contrast to the five function types, where the impact of a different interpretation is unconstrained, and can be potentially very large. Empirical research has also documented the result that the impact of the fourteen complexity factors is small [kemerer, requirements, a quantitative case study methodology was chosen. As described by Swanson and Beath, this approach features the collection of multiple types of data.

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