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When you click on a collection name in the Collections pane, all the clips within that collection appear in the Contents pane. In Thumbnails View, you see the first frame of each clip. In Details View, you just see information about each clip. You won t know what s really in a clip until you watch it. To watch a clip, click on its icon in the contents pane. The first frame of the clip appears in the monitor. To watch the whole clip, click the Play button under the monitor. After you watch a clip, you can decide what you want with it. For example, you can: You can rename the clip to something more descriptive, if you like. Delete the clip if you think you ll never use it in any movie you create. Move or copy the clip to some other collection. Split the clip into two. Combine the clip with one or more clips that follow it. Add the clip to the Storyboard/Timeline if you intend to use it in the movie you re creating right now. As you go through your clips, the goal is to start coming up with scenes that you can use in a movie. You re not actually building the movie at this point. You re just better organizing your raw material your clips into scenes that you can drop into your movie.

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A tab control provides several pages, each accessed through a tab at the top, bottom, or side of the dialog box. Figure 19.13 shows frmCustomers, a perfect example of a tabbed Access form. frmCustomers contains a tab control with three pages, allowing the form to contain many more controls than possible without the tab control. Each of the tabs along the top of the form reveals a different page of the form s data. Each page contains many controls. Figure 19.13 shows buttons, labels, and text boxes. Each control on the page behaves independently of all other controls on the form and can be accessed through Access VBA code as an independent unit.

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Depending on the nature of the customer s business, there may be relevant industry models to assist the customer in developing a total BPM; for example, for manufacturing businesses there is the standard SCOR model (Supply Chain Operations Reference Model). This model can be used as a template to develop an overall BPM of the customer s business entity. After developing a BPM the customer should then identify and rank its candidate business processes for outsourcing. These can be ranked by a variety of factors such as type of process, strategic value, and cost to carry out the process, current process performance, and applicability for outsourcing. A sophisticated outsourcing vendor will be able to partner with the customer during this exercise in order to provide valuable input or even offer consulting services to assist and provide actionable output. Sophisticated outsourcing vendors should be able to show standard industry process models, for example, for the IT industry. Within those process models they should be able to demonstrate in which areas they provide outsourced process coverage for their customers.

it can be seen how the state probabilities depend on the MTTF, being varied from approximately 1 day to a little less than 100 years and 11 days. Although the probability mass is captured to a larger extent by ~2, the other probabilities are of no less interest to designers of dependable systems because the effectiveness of redundancy and recovery techniques is measured by the values of these small probabilities. Note, in the case of the third experiment in particular, that the numbers differ by many orders of magnitude. This property could impose challenges on the numerical algorithms used to analyze the underlying CTMC since an appropriate accuracy has to be assured. For instance, the results in Table 3.9 are exact values up to 13 digits. While such an accuracy is most likely not very significant for the probability ~2, it seems to be a minimum requirement for the computation of OTTO, the 10 since leading digits of ~0 are zeroes in the third experiment. The more the values of the model parameters diverge from each other and the larger the investigated model is, the more this property tends to manifest itself. Note that for the analysis of larger models, iterative methods are usually preferred. The convergence criteria have to be chosen very carefully in cases where the resulting values differ by orders of magnitude. On the one hand, the convergence criteria should be stringent if the significant measures result in very small values. One the other hand, computational complexity increases substantially with a more stringent convergence criteria. Even worse, the probability of convergence might significantly decrease. More details are presented in the following sections.

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