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Normal Distribution Logarithmic Distribution (Gaussian) (Poisson) Figure 48.1 Basic Types of Statistical Frequency Distributions

11 Redraw the diagrams to look nicer and then create the application s directory hierarchy, naming a separate directory for each process (the name coming directly from the name of the deployment chart that documents the process) 12 Create blank templates named for each step in each task by using the format TasknameStepnamecfm, again taking these names directly from the diagrams already drawn and labeled in step 8 13 The actors listed down the left side directly map to individual roles in ColdFusion MX s new role-based security mechanism You can easily restrict access to only authorized users by simply testing whether the logged-in user was granted membership in the appropriate role for each task Make a note of each role required by this process so you can create these roles in your database when the application is deployed 14.

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The named phases across the top of a deployment chart are assigned progressive numeric values, so add a Phase attribute to the parent entity that will store the data related to each phase in the database Now that you have a named template for every step of every task within every process in your application, you can concentrate on encapsulating your business logic into ColdFusion components, which directly fit the role-based framework defined in the diagrams 15 Because the components are entity-centric rather than instance-centric, add a class method named List<Entity>Status() to each component You will program this method in each entity s component to produce a sorted status list of all the rows in that entity s table, based on the value of its Phase attribute.

1 The range of desirable or acceptable inputs and conditions from undesirable or unacceptable inputs 2 The range of desirable or acceptable outputs and conditions from undesirable or unacceptable outputs Recall Figure 32 of our discussion of system entity concepts where we illustrate the challenge in SE Design decision making relative to acceptable and unacceptable inputs and outputs Design Input/Output Range Acceptability Statistically we can bound and characterize the range of acceptable inputs and outputs using the frequency distributions As a simple example, Figure 482 illustrates an example of a Normal Distribution that we can employ to characterize input/output variability In this illustration we employ a Normal Distribution with a central mean Depending on bounding conditions imposed by the system application, SEs determine the acceptable design range that includes upper and lower limits relative to the mean Range of Acceptable System Performance.

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