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DiagML - The Diagnostics Interoperability Format

The Diag-ML Format was conceptualized mid 2001 by a consortium of public and private companies interested in producing a non-proprietary language for describing diagnostic procedures,. Designs, tests, and data. Easily Extended, Parsed and Transformed. Proven and available now. Applications for Diag-ML include:. Transfer of Knowledge to Run-Time Systems. Diagnostic and Prognostic Knowledge Capture. System- and Subsystem-Level Diagnostics and Prognostics. Third-Party Diagnostic and Testability Assessment.

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DiagML - The Diagnostics Interoperability Format | diag-ml.net Reviews
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The Diag-ML Format was conceptualized mid 2001 by a consortium of public and private companies interested in producing a non-proprietary language for describing diagnostic procedures,. Designs, tests, and data. Easily Extended, Parsed and Transformed. Proven and available now. Applications for Diag-ML include:. Transfer of Knowledge to Run-Time Systems. Diagnostic and Prognostic Knowledge Capture. System- and Subsystem-Level Diagnostics and Prognostics. Third-Party Diagnostic and Testability Assessment.
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DiagML - The Diagnostics Interoperability Format | diag-ml.net Reviews

https://diag-ml.net

The Diag-ML Format was conceptualized mid 2001 by a consortium of public and private companies interested in producing a non-proprietary language for describing diagnostic procedures,. Designs, tests, and data. Easily Extended, Parsed and Transformed. Proven and available now. Applications for Diag-ML include:. Transfer of Knowledge to Run-Time Systems. Diagnostic and Prognostic Knowledge Capture. System- and Subsystem-Level Diagnostics and Prognostics. Third-Party Diagnostic and Testability Assessment.

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DiagML - An Open, XML-Based Diagnostics Format

http://www.diag-ml.net/Detail.aspx?Detail=Open

Diag-ML is a human-readable, open format, based on XML. The format represents a superset of information, providing enough knowledge to re-reason diagnostic conclusions from the tests. Data Contained in Diag-ML:. DSI eXpress and Geotest ATEasy Integration - Using DSI Workbench. Integrating Diagnostics with Test - Using DSI Workbench to Troubleshoot Faults. DSI eXpress and Geotest ATEasy Integration - Using ATEasy Fault Analysis. Would you like to start working with Diag-ML? Download Example - - SCHEMA.

2

DiagML - An Extensible XML-Based Approach to Diagnostics

http://www.diag-ml.net/Detail.aspx?Detail=Extensible

Using the power of XML, Diag-ML is fully extensible. This means you can extend the format to include application-specific data as needed. DiagML - An Interoperability Platform for Test and Diagnostics Software. Presented at AutoTestCon 2002, this paper details the case for Diag-ML and identifies shortcomings to existing approaches, including AI-Estate. Data Type Extensibility in Automatic Test Systems. DSI eXpress and Geotest ATEasy Integration - Using DSI Workbench. Download Example - - SCHEMA.

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DiagML - The Diagnostics Interoperability Format

The Diag-ML Format was conceptualized mid 2001 by a consortium of public and private companies interested in producing a non-proprietary language for describing diagnostic procedures,. Designs, tests, and data. Easily Extended, Parsed and Transformed. Proven and available now. Applications for Diag-ML include:. Transfer of Knowledge to Run-Time Systems. Diagnostic and Prognostic Knowledge Capture. System- and Subsystem-Level Diagnostics and Prognostics. Third-Party Diagnostic and Testability Assessment.

diag-ml.net diag-ml.net

DiagML - The Diagnostics Interoperability Format

The Diag-ML Format was conceptualized mid 2001 by a consortium of public and private companies interested in producing a non-proprietary language for describing diagnostic procedures,. Designs, tests, and data. Easily Extended, Parsed and Transformed. Proven and available now. Applications for Diag-ML include:. Transfer of Knowledge to Run-Time Systems. Diagnostic and Prognostic Knowledge Capture. System- and Subsystem-Level Diagnostics and Prognostics. Third-Party Diagnostic and Testability Assessment.

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