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Figure 3.9 shows the evolution of data fidelity required for semantically aware applications. Instead of just meta data, we will have an information stack composed of semantic levels. We are currently at Level 1 with XML Schema, which is represented as modeling the properties of our data classes. We are capturing and processing meta data about isolated data classes like purchase orders, products, employees, and customers. On the left side of the diagram we associate a simple physical metaphor to the state of each level. Level 1 is analogous to describing singular concepts or objects. In Level 2, we will move beyond data modeling (simple meta data properties) to knowledge modeling. This is discussed in detail in 5 on the Resource Description Framework (RDF) and 7 on taxonomies. Knowledge modeling enables us to model statements both about the relationships between Level 1 objects and about how those objects operate. This is diagrammed as connections between our objects in Figure 3.9. Beyond the knowledge statements of Level 2 are the superstructures or closedworld modeling of Level 3. The technology that implements these sophisticated models of systems is called ontologies and is discussed in 8.

The functional touchpoint paradigm is implemented by tool software that runs on the same computer as the AUT. This one-to-one relationship between the tool computer and the test computer is necessary because the tool software must directly observe the interactions on the keyboard, mouse, and screen. This also represents a computer resource testing constraint. If you want to do functional testing for one business transaction at a time, you need one computer. If you want to do functional testing for two business transactions at the same time, you need two computers. If you want to do functional testing for 20 business transactions at the same time, you need 20 computers. There are no economies of scale. Figure 11.3 illustrates this AUT test tool computer relationship for functional testing.

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cases. The nn is an arbitrary sequential number usually beyond the range of the use case numbering. For Case Study B, we started numbering the structural test cases at 30. The Case Study B Design stage test plan contains a draft schedule for writing test cases to be executed in the Preliminary construction stage as the code becomes available. To a great extent, the testing schedule is always dependent on the development schedule because you cannot test what has not been written. Where does the development schedule come from Normally, the development plan includes the order in which the new application components will be constructed plus a construction effort estimate. Having developed a number of software applications, the CPI development team knows ways of prioritizing component development that leverages each prior component completed to expedite the development of the next component. Speci cally, the CPI developers recommend the following priority of component development for DCPS. 1. 2. 3. 4. 5. data entry screens search screens print screens backup and archiving menus

At threshold, the gain in the solitary laser is equal to the cavity losses of the diode allowing us to obtain an expression for n: n= G n

When people first come on board, they need to be introduced. Names, roles, and memorable details should be exchanged. For example, This is Sadie Brown. She looks after our databases and is a whiz at parasailing. This is Chris White, our marketing guru. He did a great job on the Mars project. Associate each person with a memorable fact. By the time you have walked them around all the departments (or the room) you will have given them an idea of the pace, who reports to whom, how they should behave when they hit a serious problem, what support they can expect, and so on.

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Growing up on a country estate, bordered by a rugged river, nestled in the untamed moors of Scotland, James Clerk Maxwell couldn t help but be keenly aware of the wild splendor of nature s drama. As the

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