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Combining Model-driven and Schema-based Program Synthesis Even Donna, Jon Whittle CSS, NASA Ames Research Center, Buffett Field, CA 94035, USA Vienna, Jonathan email.arc.NASA.gov Abstract We describe
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How to fill out combining model-driven and schema-based?

01
Start by identifying the specific requirements and goals of your project or application.
02
Choose a suitable modeling language or framework that supports both model-driven and schema-based approaches.
03
Create a high-level conceptual or domain model using the chosen modeling language, capturing the essential entities, relationships, and attributes.
04
Map the conceptual model to a corresponding schema in a schema-based approach, specifying the data types, constraints, and relationships.
05
Generate or implement the necessary code or scripts to setup and populate the underlying database based on the schema.
06
Develop the application or system using a model-driven approach, leveraging the conceptual model to guide the design and development process.
07
Ensure that the model-driven components interact seamlessly with the underlying database schema, ensuring data consistency and integrity.

Who needs combining model-driven and schema-based?

01
Organizations or enterprises looking to develop complex software systems or applications that require a well-defined and structured data model.
02
Development teams striving for better collaboration and communication between software developers and domain experts by using the model-driven approach.
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Projects that require flexibility and adaptability in managing data schema changes over time, where the schema-based approach can accommodate modifications without impacting the entire system.
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Businesses or industries that deal with large volumes of data and need a scalable and efficient solution for managing and querying the data, making use of both model-driven and schema-based techniques to optimize performance and usability.
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Combining model-driven and schema-based refers to the approach of using both a model-driven and schema-based methodology in a software system or application development process. It combines the flexibility of a model-driven approach with the structure and reliability of a schema-based approach.
Any individual or organization that is involved in software system or application development can choose to adopt and implement the combining model-driven and schema-based approach. It is not mandatory, but can be beneficial for ensuring a robust and well-structured development process.
Filling out combining model-driven and schema-based involves following the designated methodology and best practices specific to this approach. It typically includes creating a detailed model representation of the system or application, mapping it to a schema that defines the structure and data types, and then implementing the necessary code or software components based on this combined model and schema.
The purpose of combining model-driven and schema-based is to leverage the advantages of both approaches in software system or application development. It allows for a more flexible and adaptable development process through the use of models, while ensuring the reliability, consistency, and structure of the system by utilizing schemas.
The specific information that needs to be reported on combining model-driven and schema-based depends on the context and requirements of the software system or application being developed. Generally, it includes the model representations, schema definitions, mapping between them, and any relevant documentation or specifications related to the development process.
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