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When you achieve the 10 boost in productivity that ADP can deliver, it has a dramatic impact on the enterprise. You have achieved a quantum leap in developer productivity. Now you can create disposable software because you can implement new code rapidly and be con dent that it works. With this capability you can react quickly to market changes and requirements. That will already be a great improvement, but much bigger improvements are still waiting to be claimed. You will be making software the right way. But will you be making the right kind of software In order to make the most of your newly ef cient IT crew, you need to make sure that they are building an open system built around the concept of software services, what we call service-oriented architecture (SOA). When you properly apply the techniques I have explained in this chapter to the kind of software I am going to describe in 5, you gain the ability to make strategic decisions with your IT systems. That is the key to achieving the second quantum leap of productivity, the Enterprise Leap. Unlike the Developer s Leap, which is measured in LOC per developer, the Enterprise Leap is measured using traditional business metrics with which you

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A related problem is the huge variety of passports, driver s licenses, letterheads, corporate seals, and variations in packaging. Without samples of genuine articles for comparison, inspection is more or less limited to the primary level, so forgery is easy. Even though bank clerks have books with pictures of foreign banknotes, and immigration officers similarly have pictures of foreign passports, there is often only a small amount of information on security features; and in any case the absence of real physical samples means that the tactile aspects of the product go unexamined. As already mentioned, the limiting factor with many technologies is the cost of second-line inspection in the field. If detecting a forged bottle of perfume requires equipment costing $5,000 (e.g., a laptop with a scanner, a UV lamp, and a special microscope), then this may be viable for an exclusive perfume sold only through a few upmarket stores, but is less likely to be viable for medium-value products and is very unlikely to be distributed to all customs posts and market inspectors worldwide. The ideal remains a seal that can be checked by the public or by staff with minimal training. Firms that take forgery seriously, such as large software companies, are starting to adopt many of the techniques pioneered by banknote printers. But highvalue product packages are harder to protect than banknotes. Familiarity is important: people get a feel for things they handle frequently, such as local money, but are much less likely to notice something wrong with a package they see only rarely, such as a car part or a medicine bottle. Humans are very vulnerable when they see something for the first or only time such as the packaging on the latest version of a computer operating system.

The convolution method introduced in Section 81.1 can be extended to the case of multiclass closed product-form queueing networks. According to the BCMP theorem, Eq. (7.80), the state probabilities for closed product-form queueing networks are given by:

The first enhancement to the Product class is to update the process of retrieving product details, given a particular ProductID In the initial example, the user selected a product from a combo box, and the form used an inline SQL statement to extract the details for the selected product The problem with having the form directly manage data is that the form (which is the consumer of the product data) has to know a great deal about how the product data is stored The form holds a hard-coded SQL statement, creates a recordset with product data, and then assigns the recordset s data to the product object s properties This is far too much to entrust to the user interface Consider an application with perhaps hundreds of forms Using the design described in the previous paragraph, each form in the application has to manage its own data.

I have already told you one of the reasons you are not successful: You have not been willing to do what it takes. But since I know people do

Here si,r is the original service time of a class-r job at node i in the original network. I] Transform the class values into chain values (to differentiate between class values and chain values, the chain values are marked with *). I] Compute the performance parameters of the transformed shadow model with the MVA. If the model parameters swing, then set

3. Click to the left of the D in the Description column and enter ProductDescription: to the left of the field name.

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