print qr code vb.net Figure 12.2 Visual Model of Navigation Paths in Visual Basic .NET

Generator Code 39 in Visual Basic .NET Figure 12.2 Visual Model of Navigation Paths

Figure 12.2 Visual Model of Navigation Paths
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Consider the following key points when determining the relative distribution of scenarios: Create visual models and circulate them to users and stakeholders for review/comment. Ensure that the model is intuitive to nontechnical users, technical designers, and everyone in between. Because performance tests frequently consume large amounts of test data, ensure that you include enough in your data files. Ensure that the model contains all of the supplementary data necessary to create the actual test.
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Identify Target Load Levels
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A customer visit to a Web site comprises a series of related requests known as a user session. Users with different behaviors who navigate the same Web site are unlikely to cause overlapping requests to the Web server during their sessions. Therefore, instead of modeling the user experience on the basis of concurrent users, it is more useful to base your model on user sessions. User sessions can be defined as a sequence of actions in a navigational page flow, undertaken by a customer visiting a Web site.
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Quantifying the Volume of Application Usage: Theory
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It is frequently difficult to determine and express an application s usage volume because Web-based multi-user applications communicate via stateless protocols. Although terms such as concurrent users and simultaneous users are frequently used, they can be misleading when applied to modeling user visits to a Web site. In Figures 12.3 and 12.4 below, each line segment represents a user activity, and different activities are represented by different colors. The solid black line segment represents the activity load the Home page. User sessions are represented horizontally across the graph. In this hypothetical representation, the same activity takes the same amount of time for each user. The time elapsed between the Start of Model and End of Model lines is one hour.
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Figure 12.3 Server Perspective of User Activities Figure 12.3 above represents usage volume from the perspective of the server (in this case, a Web server). Reading the graph from top to bottom and from left to right, you can
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see that user 1 navigates first to page solid black and then to pages white, polka dot, solid black, white, and polka dot. User 2 also starts with page solid black, but then goes to pages zebra stripe, grey, etc. You will also notice that virtually any vertical slice of the graph between the start and end times will reveal 10 users accessing the system, showing that this distribution is representative of 10 concurrent, or simultaneous, users. What should be clear is that the server knows that 10 activities are occurring at any moment in time, but not how many actual users are interacting with the system to generate those 10 activities. Figure 12.4 below depicts another distribution of activities by individual users that would generate the server perspective graph above.
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Figure 12.4 Actual Distribution of User Activities Over Time In this graph, the activities of 23 individual users have been captured. Each of these users conducted some activity during the time span being modeled, and their respective activities can be thought of as 23 user sessions. Each of the 23 users began interacting with the site at a different time. There is no particular pattern to the order of activities, with the exception of all users who started with the solid black activity. These 23 users actually represent the exact same activities in the same sequence shown in Figure 12.3. However, as depicted in Figure 12.4, at any given time there are 9 to 10 concurrent users. The modeling of usage for the above case in terms of volume can be thought of in terms of total hourly users, or user sessions counted between Start of Model and End of Model. Without some degree of empirical data (for example, Web server logs from a previous release of the application), target load levels are exactly that targets. These targets are most frequently set by the business, based on its goals related to the application and whether those goals are market penetration, revenue generation, or something else. These represent the numbers you want to work with at the outset.
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