Normal and Inverted Function Tables

Dr. J.I. Zucker
(zucker@maccs.dcss.mcmaster.ca)

Software Engineering Research Group
CRL, McMaster University,
Hamilton, Ontario, Canada L8S 4K1


Abstract

We present a method for estimating software reliability, based on statistical hypothesis testing. Our estimations are based on the current version of the software only, and our method is applicable when the current version has not yet failed any random tests. Our method is particularly useful when one desires reliability estimates that are practical to calculate, and that are more accurate than estimations obtainable with current models.