barcode scanner code in asp.net BARE BOARD TEST METHODS in Software

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not always the most immediately visible tools in the testing department, the completeness and automation of software tools can have a large impact upon whether you are able to set up and test boards quickly and efficiently rather than struggling to build fixtures quickly while testing very few boards. Ideal fixture software readily accepts the product data, analyzes the data, recommends an optimal fixture design including all fabrication details, and outputs computerized numerical control (CNC) files for fixture fabrication, material requirements, special procedures required, and a test program in the proper format for the selected test system(s). 37.5.2.1 Selecting Fixture Software. A complication arises due to the mechanical incompatibility of many types of test systems. If the available equipment includes something of a grab bag of different equipment types, the test manager s task is made considerably more difficult in several ways. Aside from the obvious problems of manufacturing different fixture types, the manager is also faced with difficult load-leveling tasks. In such circumstances, the test manager may be forced to select general-purpose fixture software packages. By virtue of offering many configuration options, these require additional operator training and present increased opportunity for error. If the testing equipment uses a shared fixture type, it becomes possible to standardize the software process (and raw material). Optimized configurations may be locked into the software, minimizing error opportunities. 37.5.2.2 Test Data Extraction Methods for Fixtures and Programs. The initial stages of processing include the acceptance and inspection of the input data to ensure that they have been presented in a valid format. These data are then scanned to determine which sites on the board deserve test points, and what measurements are required among these test points in order to ensure proper continuity and isolation of the product. There are a variety of input sources, summarized in subsequent sections. A usual goal of the extraction process is to eliminate unnecessary test points. According to predefined rules, the software identifies those end points of each network segment where test pins can and should be placed. For example, a T-shaped network probably requires three test points, located at the extreme extensions of each arm of the T.This provides sufficient connectivity to the product to permit a complete continuity test. One point per network is the minimum needed to attempt isolation testing, and two points per network make the isolation test more robust by permitting the tester to ensure that these points are in proper contact with the product. The following is a generic description of the software process, where CAD or photoplot information is available.
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Data orientation The toughest side of the board in terms of test centers is usually oriented face down. It is often easier to manage a heavier, more complex fixture on the bottom side of the test system.This may require flipping or inverting the data. Test site identification and optimization Depending upon customer preference, it is often true that some test points can be deleted from the program. Figure 37.10 FIGURE 37.10 Optimizing a network. shows a network with a midpoint B that does not need to have a test point on it. The test points at A and C are all that are necessary to determine whether this network is isolated and contains no opens. Test point optimization can reduce the number of points in a fixture by 10 to 50 percent, thereby reducing the cost of the fixture and the time needed to test the board.
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Although optimization provides some economic and minor throughput benefits, this must be offset by any impact upon the repair process and by any fault coverage risk. Midpoints can provide failure data that help the repair station more easily pinpoint the actual fault site. Where an operator is required, or when flaws appear in the algorithm, the deletion of test
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