RAYLEIGH SHELLTO CODE
Defect data at high-level design inspection (I0), low-level design inspection (I1), code inspection (I2), component test (CT), system test (ST), and operation (customer usage) were available. The product we used had 65 components, so we had a good- sized sample. A component is a group of modules that perform specific functions such as spooling, printing, message handling, file handling, and so forth. To formally examine the assumptions, we conducted a hypothesis-testing study based on component data for an AS/400 product. It also implies that if errors are injected, they should be removed as early as possible, preferably before the formal testing phases when the costs of finding and fixing the defects are much higher than that at the front end. This principle means that if each step of the development process is executed properly with minimum errors, the end product's quality will be good. Rayleigh Model Illustration IIīoth assumptions are closely related to the "Do it right the first time" principle. Curves that peak earlier have smaller areas at the tail, the GA phase.įigure 7.4. This relationship is illustrated in Figure 7.4, in which the areas under the curves are the same but the curves peak at varying points. As a result, the field quality will be better. The second assumption is that given the same error injection rate, if more defects are discovered and removed earlier, fewer will remain in later stages. Assuming the defect removal effectiveness remains relatively unchanged, the higher defect rates observed during the development process are indicative of higher error injection therefore, it is likely that the field defect rate will also be higher.įigure 7.3.
This is related to the concept of error injection. In other words, the higher the curve (more area under it), the higher the field defect rate (the GA phase in the figure), and vice versa. The first assumption is that the defect rate observed during the development process is positively correlated with the defect rate in the field, as illustrated in Figure 7.3.
RAYLEIGH SHELLTO SOFTWARE
Using the Rayleigh curve to model software development quality involves two basic assumptions.
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