This graph shows the benefit of error-detection effectiveness under the assumption that the defect detection can be modeled as a nonhomogenous Poisson process (NHPP). As the proportion of defects removed per test case or interval moves from 0.2 to 0.8, the number of test intervals needed to remove 80 percent of the defects goes from 8.03 down to 2.01.