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Data-Driven Testing The preferred method of deriving program and/or fixture data is data-driven programming (DDP), sometimes referred to as netlist testing. The basic idea of data-driven test programming is to test the board using the same database used to specify its manufacture in other words, the original design database.The fixture and DDP development process can be divided into two stages:

Leon Jackson had spent hours creating a training course for the employees of his division. His objective was to teach them a new cable-splicing technique. As he developed more and more slides, with more and more words, he realized his presentation was doomed. He took a break from the project and drove his daughter to a play date. As he watched the kids create drawings, he had a ash of brilliance. Pictures! When he went home, he took digital photos as he spliced a cable. He inserted the photos in the slides, and voil ! He showed the process in a simple way that crossed all language barriers. Little had Leon known that his four-year-old would solve his PowerPoint problem. Whether you re reporting the results of the nuclear power plant referendum, selling the latest software to a new client, or meeting with your school s fund-raising team, at one time or another you will be expected to use PowerPoint, Keynote, or other presentation software to create slides. PowerPoint is easy to use, and anyone can create a presentation without formal training. Surprisingly, that presents a problem.

Input/extraction, the preparation and processing of the various possible input sources into a format usable by the second stage Fixture data, test program, and repair file output, and subsequent application of the data.

Factors such as data quality and completeness, the format of data available, and fixture design can significantly reduce or extend software processing and engineering time. Board technology, size, and complexity tend to increase time requirements. While software tools are

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) 37521 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 37522 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 TThis 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..