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Wizard Templates.

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Presentation on theme: "Wizard Templates."— Presentation transcript:

1 Wizard Templates

2 TPS Wizard™ Delivered to OEMs as part of LM-STAR® SDK on JSF.
Simplifies task of creating TestStand™ sequences. Implements JSF LM-STAR® TPS Style Guide. Reduces development time. Provides a repeatable process. Allows engineers to concentrate on test requirements. Groups all TestStand related. information in a single tool. Hides TestStand™ complexity.

3 TestStand™ Sequence Structure

4 TPS Wizard™ Architecture

5 TPS Wizard™ User Interface

6 Autotestcon Configuration

7 Custom Steps Provide a simple Dialog GUI interface to configure Instrument Parameters. Implements Range Checking for Parameters. Implements on-line help and “tooltips”. Information stored within Step Properties. Execute retrieves information from Step Properties and calls Instrument Handler.

8 Future TPS Wizard™ Enhancements
Generate TDML data files. Capability to view test data as TDML fragments. Capability to configure Custom Step Properties. Integrate P1641 within TPS Wizard™. Generate LabWindows™/CVI™ Test Wrappers.

9 Intelligent ATS/TPS Architecture
AI-ESTATE (Artificial Intelligence Exchange and Service Tie to All Test Environments) compliant system. AI-ESTATE is IEEE Standard 1232TM-2002. The standard defines a set of specifications “for exchanging diagnostic knowledge and constructing diagnostic reasoners” 1. User Interface Test and Maintenance Information Management Center (TMIC) Diagnostic Reasoner(s) Application Executive Test Controller(s) 1 Introduction to IEEE Std

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11 Common Development Framework (CDF)
LM STS developed and maintained product. J2EE-based application framework. Provides a high level of decoupling between architectural layers. All workflow processes are described and configured using XML. Used to maintain session information and to direct messages between the Client, Reasoner, Database and Test Executive.

12 Bayesian Network Provides a basis for determining the likelihood of all possible outcomes, taking into account what is known (observed data). Example scenario: “Given the fact that BIT Code is reported, Tests 1 through 5 have passed, and Test 6 has failed: What is the probability that A1 is the faulty component? What is the probability that A3 is the faulty component? Relationships and probability distribution are generated in an off-line “sustaining engineering” process.


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