Convert DLP to XMI

Understanding DLP and XMI file formats

DLP files are typically associated with Direct Logic Program files, often used in logic programming or automation systems. These files contain logic rules, facts, and sometimes configuration data for programmable logic controllers (PLCs) or similar systems.

XMI (XML Metadata Interchange) is a standardized XML-based format used to exchange metadata information via XML. It is widely used in software engineering for sharing UML (Unified Modeling Language) models between different modeling tools.

Why convert DLP to XMI?

Converting a DLP file to XMI format is useful when you need to import logic or model data from a proprietary or legacy system into a modern modeling tool that supports XMI, such as Enterprise Architect, MagicDraw, or IBM Rational Software Architect.

How to convert DLP to XMI

There is no direct, universal converter for DLP to XMI due to the specialized nature of DLP files. The conversion process typically involves:

• Exporting or extracting the logic or model data from the DLP file, often by opening it in the original software or a compatible editor.
• Manually mapping the logic elements to UML or another modeling language supported by XMI.
• Using a UML modeling tool to recreate the model and then exporting it as XMI.

Recommended software for conversion

Enterprise Architect by Sparx Systems is a powerful UML modeling tool that supports XMI import and export. If your DLP file can be interpreted or manually recreated as a UML model, you can use Enterprise Architect to export the model as XMI via File → Export → XMI.

Alternatively, MagicDraw and IBM Rational Software Architect also offer robust XMI support. For automation, consider writing a custom script or using a middleware tool to parse DLP files and generate XMI-compliant XML.

Summary

While there is no one-click solution for DLP to XMI conversion, the process can be accomplished by manually mapping and recreating the logic in a UML tool, then exporting to XMI. Enterprise Architect is highly recommended for this workflow.