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The solution is simple. Refactor the logic that requeries the server and fulfills the DTO relationships into the DTO itself and implement a lazy-loading scheme. For example, when client A now queries user information, client A only gets user DTO s. When A needs booking information, client A simply calls user.getBookings() and gets back a collection of booking DTOs. Behind the scenes, the user DTO implementation checks to see if it already has the booking information. If not, the user DTO implementation queries the server for the booking DTOs and returns them to the client (listing 3.3). Clients A and B can use the same generic booking DTO implementation. Should client B ever need access to user information from a booking instance, client B simply calls the getter. In the meantime, client B need not incur the overhead of downloading the unnecessary information.

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By administering tests via computer, test developers are provided with more leeway in the types of question they can ask than with traditional paper-andpencil tests, which are well suited to multiple-choice questions In a comprehensive review of the literature on computerized testing, Zenisky and Sireci (2002) identi ed over 20 new types of item format Some examples of novel tem formats for computer testing include graphical modeling, mathematical expressions, generating examples, multiple numerical responses, passage editing, and problem-solving vignettes In this section, a brief description along with an example will be provided for each of these novel item formats Graphical modeling, mathematical expressions, and generating examples can all be classi ed as novel ways to assess mathematical ability (Bennett, Morley, & Quardt, 2000) Historically, math tests included in large-scale testing programs such as the Scholastic Aptitude Test (SAT) and the American College Testing (ACT) program were composed of selected response items; however, graphical modeling, mathematical expressions, and generating examples represent three alternative assessment formats for mathematical ability that use a constructed response approach With graphical modeling (GM) items, examinees are given a brief description of a mathematical problem and asked to plot this information on a grid so that it represents the information provided For example, an examinee may be asked to plot points on a grid for a circle with an area equal to 16 As in this problem, it is possible to have more than one correct answer; consequently scoring becomes a challenge for the test developer While completing mathematical expression (ME) items, examinees are asked to construct a mathematical equation that represents the problem (Bennett et al, 2000) For example, if n is the arithmetic mean of three numbers 3, 5, and j, what is the value of j in terms of n (Solution: j 3n 3 5) Again, a critical issue for mathematical expression items is scoring: there can be any number of ways to write equally correct equations An important contribution of Bennett et al (2000) is their scoring algorithm They used symbolic computation principles to convert alternative answers to a simplest form, which could then be compared with the answer key In a test of the scoring algorithm, they found it correctly scored answers with an accuracy of greater than 996%; moreover, most of the answers that were classi ed as incorrectly scored by the algorithm contained problematic subscripts (eg X1 rather than X1) Like ME items, generating examples (GE) items set constraints within the problem and then ask the examinee to give an equation or value that meets these constraints (Bennett et al, 2000) For example, if a and b are positive integers and 5a 3b 1, what are two possible sets of value for a and b (Solution: a 2; b 3; a 5; b 8) By assessing mathematical ability with constructed response items, the construct of mathematical ability is broadened to incorporate and assess skills not feasible with a traditional multiple-choice format.

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In our Jbed example application, the virtual machine functionality and application are all in one PRC file. Don t forget to also load the virtual machine PRC(s) or other class files in a case where the application, auxiliary classes or virtual machine are located in multiple PRCs.

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Table 3.3 Patternset attributes. Including and excluding patterns allows filesets to be defined precisely to encompass only the files desired. The includesfile and excludesfile adds a level of indirection and external customization. Attribute includes excludes includesfile excludesfile Description Comma-separated list of patterns of files that must be included. All files are included when omitted. Comma-separated list of patterns of files that must be excluded. No files (except default excludes) are excluded when omitted. The name of a file; each line of this file is taken to be an include pattern. You can specify more than one include file by using nested includesfile elements. The name of a file; each line of this file is taken to be an exclude pattern. You can specify more than one exclude file by using nested excludesfile elements.

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