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An automatic modeltomodel mapping and transformation methodology to serve model based systems engineering Tiepin Wang, Bastien Until, Frederick Benedetto cite this version: Tiepin Wang, Bastien Until,
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How to fill out an automatic model-to-model mapping

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How to fill out an automatic model-to-model mapping

01
To fill out an automatic model-to-model mapping, follow these steps: 1. Identify the source and target models that you want to map.
02
Determine the mapping rules or logic that you want to apply.
03
Use a tool or software that supports automatic model-to-model mapping.
04
Open the tool and import the source and target models.
05
Configure the mapping settings, if required.
06
Start the mapping process and let the tool generate the mapping automatically.
07
Review and validate the generated mapping.
08
Make any necessary adjustments or manual mappings, if needed.
09
Save the final model-to-model mapping for future use.
10
Test the mapping to ensure it functions as expected.

Who needs an automatic model-to-model mapping?

01
Automatic model-to-model mapping is useful for individuals or organizations in various domains, including:
02
- Software developers who need to integrate different models or databases.
03
- Data scientists who want to map data between different machine learning models.
04
- System architects who are designing complex systems that require model interoperability.
05
- Business analysts who need to align data from multiple sources for reporting or analysis purposes.
06
- Researchers who are working with heterogeneous data and need to map it efficiently.
07
- Companies that are migrating from one software system to another and need to map their existing data models.
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An automatic model-to-model mapping is a process that allows for automatic translation of models between different languages, systems, or formats.
Any individual or entity that needs to translate models between different systems or formats may be required to file an automatic model-to-model mapping.
To fill out an automatic model-to-model mapping, one must identify the source and target models, specify the mapping rules, and validate the accuracy of the mapping.
The purpose of an automatic model-to-model mapping is to ensure consistency and accuracy when translating models between different systems or formats.
The information reported on an automatic model-to-model mapping may include the source and target models, mapping rules, validation results, and any discrepancies found.
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